
## Full Description
As a junior member of the Technology Developemnt & Applied Research department you will:

Assist in prototyping AI solutions br>Work with senior engineers to build proof-of-concept applications across computer-vision, natural-language, generative AI, and predictive-analytics use cases.

Support model evaluation & benchmarking br>Run experiments, gather performance metrics, and help select the mostappropriate algorithms, features, or hyper-parameters for each project.

Contribute to model packaging & deployment br>Write Dockerfiles, maintain docker-compose (or similar) configurations, and learn modern MLOps practices for taking models from notebook to production.

Help build and maintain data pipelines br>Ingest, clean, and transform structured and unstructured data sets that fuel our machine-learning workflows and analytics dashboards.

Write clean, testable Python code br>Develop reusable utilities, unit tests, and Jupyter notebooks under the guidance of senior developers.

Document and present your work br>Create concise reports, dashboards, and short demos for both technical and non-technical stakeholders.

Stay curious and up-to-date br>Follow the latest AI/ML research and industry trends, sharing noteworthy papers, tools, or tutorials with the team.

Must-Have (Day 1)

Bachelor s degree in AI, Data Science, Computer Science, or a closely related field (class of 2024 or 2025).

Solid Python fundamentals: data structures, OOP principles, and working with virtual environments.

Introductory knowledge of machine-learning workflows: model training, evaluation metrics, and the basics of overfitting vs. underfitting.

Eagerness to learn, clear communication style, and a collaborative mindset.

Nice-to-Have (Learn with Us)

Coursework or academic projects involving large-language models, computer vision, signal processing, or similar AI domains.

Familiarity with deep-learning frameworks such as PyTorch and TensorFlow.

A hands-on internship or capstone project that went beyond classroom assignments.

Experience containerizing an application with Docker.

Awareness of MLOps practices (CI/CD, monitoring, model versioning).

If you meet most of the Must-Have items, we still encourage you to apply even if the Nice-to-Have list feels ambitious. We ll help you grow!




## Full Description
Lucidya is on the forefront of innovation in artificial intelligence and is looking for a skilled AI Manager to oversee our AI programs and initiatives.

In this key role, you will lead a dedicated team of machine learning/AI engineers, managing the development and implementation of AI technologies that enhance our offerings and drive business success.

As an AI Manager within our AI Agent Team, youwill be key in developing a new flagship product from the ground up.

This role will allow you to demonstrate a 'starter' mindset while nurturing both the product and the team.

You will have the chance to exhibit your comprehensive skill set, including both soft and technical abilities.

Experience in building AI Agents is essential.

This position provides an exciting opportunity for an individual with a strong background in AI/ML technologies and leadership skills to make a significant impact within the organization.

If you're passionate about pushing the boundaries of AI and building a new solution, we encourage you to apply.

Why Join Us?

This is more than just an engineering role—it’s an opportunity to shape the technical future of Lucidya and its Customers .

You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication.

As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; a Master's degree is preferred.

Experience: 5+ years of experience in AI/ML, along with 2+ years in a managerial or leadership role.

Experience with the full machine learning lifecycle, from data gathering to model deployment.

Strong Practical Experience in building and deploying AI Agents Technical Skills: Proficient in programming languages such as Python, and experienced with ML frameworks like TensorFlow and PyTorch.

Strong understanding of AI concepts and technologies, particularly in MLOps.

Strong understanding and ability to work with LLMs and know their limitations Strong experience in evaluating and testing LLMs/AI Systems Experience with cloud computing platforms and tools (e.

g., AWS, Google Cloud).

Soft Skills: Exceptional leadership and team management skills.

Excellent stakeholder management skills.

Strategic and critical thinking Strong analytical and problem-solving abilities.

Effective communication and interpersonal skills that enable cross-functional collaboration.

Ability to explain technical concepts with clarity to non-technical stakeholders.

Other: Passion for continuous learning and staying abreast of advancements in AI technologies.

Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Ability to thrive in a start-up and adaptable environment.




## Full Description
This opportunity is only for candidates currently residing in the specified country.

Your location may affect eligibility and rates.

Please submit your resume in English and indicate your level of English proficiency.

At Mindrift, innovation meets opportunity.

We believe in using the power of collective human intelligence to ethically shape the future of AI.

What we do The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients.

Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe.

Who we're looking for: We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate.

Are you comfortable with ambiguity and complexity?

Does an async, remote, flexible opportunity sound exciting?

Would you like to learn how modern AI systems are tested and evaluated?

This is a flexible, project-based opportunity well-suited for: Analysts, researchers, or consultants with strong critical thinking skills.

Students (senior undergrads / grad students) looking for an intellectually interesting gig.

People open to a part-time and non-permanent opportunity.

About the project: We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks.

Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving.

This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.

You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups.

If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.

What you’ll be doing: Reviewing evaluation tasks and scenarios for logic, completeness, and realism.

Identifying inconsistencies, missing assumptions, or unclear decision points.

Helping define clear expected behaviors (gold standards) for AI agents.

Annotating cause-effect relationships, reasoning paths, and plausible alternatives.

Thinking through complex systems and policies as a human would to ensure agents are tested properly.

Working closely with QA, writers, or developers to suggest refinements or edge case coverage.

How to get started: Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule.

Shape the future of AI while building tools that benefit everyone.

Get paid for your expertise, with rates that can go up to $41/hour depending on your skills, experience, and project needs.

Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.

Participate in an advanced AI project and gain valuable experience to enhance your portfolio.

Influence how future AI models understand and communicate in your field of expertise.

Excellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.

Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.

Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.

Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?

Good communication and clear writing (in English) to document your findings.

We also value applicants who have: Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.

Background in consulting, academia, olympiads (e.

g. logic/math/informatics), or research.

Exposure to LLMs, prompt engineering, or AI-generated content.

Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).

Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.

).




## Full Description
AI Video Marketing Specialist Remote

About M365Consult

M365Consult is a fast-growing European consulting firm specializing in Microsoft solutions. Our team thrives on innovation and collaboration, building a strong brand presence across digital platforms. We seek motivated individuals eager to grow and make an impact in AI-driven video marketing.

Job Description

Join our remote team as an AI Video Marketing Specialist focused on creating compelling viral video content leveraging cutting-edge AI tools. You will produce high-quality marketing videos that highlight our Microsoft expertise and support market expansion within the DACH region. Collaborate closely with marketing and business development to communicate value proposition and strengthen enterprise client relationships.

Responsibilities

• Develop viral video content using AI tools such as Sora, Veo3, HeyGen, Synthesia, Runway ML, among others.

• Create engaging short-form videos optimized for YouTube Shorts, Instagram Reels, and TikTok.

• Use Midjourney for image generation and video sequence design.

• Generate AI-powered audio (e.g., with Suno) to complement video productions.

• Produce client success stories, testimonial videos, and thought leadership content.

• Collaborate with marketing to develop video content strategies aligned with business goals.

• Manage video production end-to-end, from image creation to final delivery and platform optimization.

• Stay updated on emerging AI video, audio, and image generation technologies.

Requirements

• Proven experience in viral video marketing and short-form content creation.

• Expertise with AI video generation tools and short-form video platforms like TikTok and YouTube Shorts.

• Proficiency in Midjourney for image generation and advanced AI audio tools such as Suno.

• Strong video editing skills including Adobe Premiere Pro or AI alternatives like Descript.

• Deep understanding of viral marketing strategies, social media algorithms, and B2B enterprise sales cycles.

• Excellent multitasking and storytelling skills.

Preferred Qualifications

• Familiarity with Microsoft technologies and enterprise solutions.

• Experience with B2B viral marketing campaigns, especially in tech or recruiting.

• Knowledge of AI voice generation tools (ElevenLabs) and social media analytics.

What We Offer

• Full-time remote work with flexible arrangements.

• Collaborative environment with experienced Microsoft alumni.

• Commitment to professional growth and continuous learning.

How To Apply

Send your resume, portfolio of AI video projects, and a brief cover letter explaining your fit. Include examples demonstrating your AI video content creation skills.




## Full Description
Experience:

2–5 years (hands-on)

Employment Type:

Full-time

Location:

Jail Road, Lahore

About Us

We're on a mission to build intelligent voice agents that can engage in natural, real-time conversations. These agents are designed to make and receive calls, understand spoken language, and respond with human-like voices using LLMs, advanced STT, and TTS systems. You'll help shape this future by building scalable, low-latency voice AI systems that interact seamlessly via voice.

What You'll Do

• Voice Agent Development

• Design, implement, and maintain end-to-end voice-agent pipelines: STT → NLU / LLM → TTS.

• Build multi-turn conversational flows, including context management, turn-taking, interruptions, and barge-in.

• Develop prompt-engineering strategies for LLMs to drive dialogues for various call types.

• Integrate voice agent with telephony systems (SIP, Twilio, WebRTC) to support real voice calling.

• AI / ML Engineering

• Train, fine-tune, and serve models for intent detection, NLU, or dialog management.

• Work with LLMs (OpenAI, Llama, etc.) for generating responses in voice conversations.

• Optimize models for inference cost and latency (quantization, batching, efficient serving).

• Implement MLOps practices: version control, model deployment, monitoring, and retraining pipelines.

• Speech & Voice Tech

• Use high-quality STT (e.g., Whisper, Deepgram, Google) and TTS (e.g., ElevenLabs, Azure, Google) systems.

• Implement voice activity detection (VAD) and manage audio streaming / chunking for real-time voice interaction.

• Ensure voice output is natural, expressive, and appropriate for conversation scenarios.

• System Design & Infrastructure

• Design scalable, low-latency architecture for real-time voice interactions.

• Deploy voice agents in cloud environments (e.g., AWS) and set up serving infrastructure.

• Build monitoring, logging, and analytics around conversation quality, latency, and errors.

• Ensure data privacy and voice data security.

What We're Looking For

Must-Have

• 2+ years of hands-on experience in AI / ML, especially conversational or voice AI systems.

• Demonstrated experience building voice agents (STT + TTS + dialog management).

• Strong Python experience and deep learning / ML framework knowledge.

• Experience with LLMs (prompting, fine-tuning) or NLU models.

• Knowledge of telephony integrations (SIP, Twilio, or WebRTC).

• Familiarity with MLOps practices and deploying ML models to production.

• Ability to build low-latency, scalable systems.

Nice-to-Have

• Previous projects or deployed systems as a calling / voice agent. For instance, job descriptions for similar roles include working with STT, TTS, LLMs, and telephony. Jobaaj+1

• Experience with large-scale voice / conversational AI engines (Rasa, LangChain, etc.).

• Knowledge of emotion detection, voice biometrics, or multi-speaker voice modeling.

• Familiarity with deployment on cloud voice / telecom infrastructure.

• Understanding of AI ethics, data privacy (especially voice), and compliance for voice data.

Why Join Us?

• You'll

own the voice agent architecture

, building from the ground up.

• Work on

state-of-the-art AI+voice systems

combining STT, LLMs, and TTS.

• High impact

: your work will define how human-like, useful, and scalable our voice agents are.

• Great learning opportunity in MLOps, low-latency inference, and real-time dialogue systems.

• Close-knit team where your technical decisions will directly shape the product.

How to Apply

Please submit:

Your

resume / CV

A summary of your

past voice-AI or conversational agent projects

— especially deployments or real-time voice systems

(Optional but recommended) Links or demo video of any voice agent / conversational AI work you've done




## Full Description
We are looking for…

Cavista Technologies is a forward-thinking and globally connected organization dedicated to innovation, excellence, and impact. We are seeking a Python Engineer with a passion for AI/ML to build scalable models and data pipelines that drive intelligent decision-making across Cavista Technologies. You’ll contribute to the full machine learning lifecycle—from data wrangling andalgorithm development to deployment and optimization. This role is perfect for engineers eager to innovate in NLP, computer vision, or predictive analytics as part of a collaborative, forward-thinking team.

What you will experience…

• A fast-paced, collaborative, and purpose-driven team environmentthat empowers you to thrive and grow.

• Opportunities to shape the voice of a global tech brand while working alongside innovative leaders.

• Professional development and leadership support to sharpen your expertise.

• Competitive compensation and a full suite of benefits, including health and wellness programs, and generous paid time off (vacation days, holidays, and birthday leave).

• A culture that values transparency, creativity, and continuous learning.

Who we are…

At Cavista Technologies, we are redefining what it means to be a technology partner. We collaborate with organizations around the world to deliver custom-built software solutions that drive innovation, performance, and long-term value. Ourteam is diverse, passionate, and united by a shared mission—to create technology that powers possibility. Our people are our greatest asset, and together we deliver results that matter.

What will you do…

• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in

• Collaboration with a diverse solutions delivery team

• Support our Solutions Delivery team in conducting assessments of the AI (Artificial Intelligence) and automation market and competitor landscape

• Collaborate with stakeholders and project teams supporting process, research and development to meet the needs of our AI strategy

• Possess a deep understanding of our business and collaborate with teams on how integrating AI capabilities can help lead to solutions

• Contribute to cross-functional teams in identifying and prioritizing key areas of our industry where AI solutions can drive significant business benefit

• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

• Knowledgeable of a broad range of technology, strategy, and policy and issues associated with AI in healthcare.

What you bring…

• Bachelor's or master's degree in computer science or related field

• Experience with cloud environments

• Experience applying AI to practical and comprehensive technology solutions

• Experience with ML, deep learning, R, TensorFlow, Python, NLP,

• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns

• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

• Experience with innovation accelerators is a plus

• Desire and ability to work effectively in an entrepreneurial and dynamic environment




## Full Description
Job Purpose

The AI Solution Architect designs production-grade AI systems and leads architecture, infrastructure, and pipeline decisions needed for scalable, reliable AI products.

Key Responsibilities

Architecture & System Design

· Design end-to-end AI architectures for enterprise-level production systems.

· Define infrastructure, pipelines, data flows, and model-serving frameworks.

· Ensurearchitecture meets scalability, reliability, and performance benchmarks.

Technical Enablement & Standards

· Establish best practices for MLOps, deployment, and lifecycle management.

· Build reusable templates, patterns, and architectural guidelines.

· Support benchmarking, model evaluation, and optimization.

Cross-Functional Collaboration

· Work with engineering, AI, data, and product teams to deliver aligned solutions.

· Translate business requirements into actionable technical specifications.

· Provide technical leadership across the delivery lifecycle.

Quality, Governance & Compliance

· Ensure architectural alignment with security, compliance, and operational standards.

· Conduct risk assessments, reviews, and documentation of architecture decisions.

Qualifications & Requirements

· Bachelor's degree in computer science, Computer Engineering, AI/ML, Data Engineering, or related field.

· 7–10+ years of experience in solution architecture, AI/ML systems, or large-scale data engineering.

· Proven experience designing AI/ML system architectures and scalable distributed systems.

· Strong knowledge of cloud platforms, MLOps, pipelines, and data engineering.

· Strong communication, documentation, and cross-functional leadership skills.

· Experience with RAG architectures, vector databases, and LLM-based systems is a plus.

· Experience in enterprise or government-scale transformations is a plus.




## Full Description
We are seeking a Product Owner / Business Analyst to lead the development of AI-driven energy management solutions. The ideal candidate combines strong analytical skills with the ability to understand complex systems and translate them into clear, actionable requirements. This role involves close collaboration with business and technical teams to design end-to-end solutions that deliver intelligent analytics, reporting, and measurable energy optimization results.

<\/div>

<\/div>The Key Responsibilities are:

<\/div>

• Define and prioritize requirements for AI-based energy and analytics products.

<\/li>

• Collaborate with cross-functional teams to transform business needs into scalable, data-driven solutions.

<\/li>

• Design and validate dashboards, KPIs, and reports that translate data into insights.

<\/li>

• Manage complex solution workflows and ensure alignment across stakeholders.

<\/li>

• Maintain attention to detail while keeping a clear view of the end-to-end product vision.

<\/li><\/ul>

<\/div><\/span>

Requirements<\/h3>

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

<\/li>

• 7+ years of experience as a Product Owner or Business Analyst, ideally in energy management, IoT, or AI/analytics.

<\/li>

• Strong analytical and problem-solving skills with high attention to detail.

<\/li>

• Proven ability to handle complex solutions and see the big picture from concept to delivery.

<\/li>

• Experience with data analytics, ETL, and reporting tools (e.g., Power BI, Tableau).

<\/li>

• Skilled in Agile/Scrum methodologies and stakeholder communication.

<\/li>

• Excellent English communication skills.

<\/li>

• Working hours are from 11:00 AM to 8:00 PM or 12:00 PM to 9:00 PM.

<\/div><\/li>

• This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.<\/b>

<\/div><\/li><\/ul>

<\/div>Disclaimer:<\/i>

<\/div>​<\/i>

<\/div>We use Zoho Recruit and other AI tools to help review and organize job applications (for example, reading CVs, reorganizing, and extracting CV information). These tools are only used to assist our team.

No hiring decision is made solely by automated means; all applications are subject to human review and assessment.<\/i><\/div><\/div>

<\/div><\/span>



## Qualifications
* Bachelor’s or Master’s in Computer Science and/or Electric Engineering
* 5+ years of experience in AI kernel development and optimization
* experience with model and kernel inference performance profiling
* experience with at least one of the following compute development: CUDA, DSP, NEON, Triton-lang
* Demonstrate good capability in problem solving, debug and communication
## Benefits
* Health Care Plan (Medical, Dental & Vision)
* Retirement Plan (401k, IRA)
* Life Insurance (Basic, Voluntary & AD&D)
* Paid Time Off (Vacation, Sick & Public Holidays)
* Family Leave (Maternity, Paternity)
* Short Term & Long Term Disability
* Training & Development
* Work From Home
* Free Food & Snacks
* Stock Option Plan
## Responsibilities
* The AI Kernel Engineer in Quadric plays the key role to enable a large number of AI kernels/operators to run efficiently on the Quadric platform
* Develop AI/LLM kernels/operators on Quadric platform for efficient inference
* Optimize the kernel performance for different hardware configurations and workloads
* Profile and analyze kernel performance in terms of compute, data and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions
* Optimize kernel C/C++ codes, maximize hardware utilization
* Make Improvement to Quadric toolchain, compiler and runtime
* Provide technical support and documents to customers and developer community

## Full Description
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Role:

The AI Kernel Engineer in Quadric plays the key role to enable a large number of AI kernels/operators to run efficiently on the Quadric platform. The AI Kernel Engineer at Quadric will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze the performance and optimize the kernel for different hardware configurations; This senior technical role demands deep knowledge of hardware architecture, compiler toolchain and optimization techniques.

Responsibilities:

• Develop AI/LLM kernels/operators on Quadric platform for efficient inference

• Optimize the kernel performance for different hardware configurations and workloads

• Profile and analyze kernel performance in terms of compute, data and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions

• Optimize kernel C/C++ codes, maximize hardware utilization

• Make Improvement to Quadric toolchain, compiler and runtime

• Provide technical support and documents to customers and developer community

Requirements:

• Bachelor’s or Master’s in Computer Science and/or Electric Engineering.

• 5+ years of experience in AI kernel development and optimization

• experience with model and kernel inference performance profiling

• experience with at least one of the following compute development: CUDA, DSP, NEON, Triton-lang

• Proficiency in C/C++ and Python, experience with assembly language a plus

• Demonstrate good capability in problem solving, debug and communication

Benefits:

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan (401k, IRA)

• Life Insurance (Basic, Voluntary & AD&D)

• Paid Time Off (Vacation, Sick & Public Holidays)

• Family Leave (Maternity, Paternity)

• Short Term & Long Term Disability

• Training & Development

• Work From Home

• Free Food & Snacks

• Stock Option Plan




## Full Description
Earn up to $15 / hour + performance bonuses. Work remotely and flexibly.

Outlier, a platform owned and operated by Scale AI, is looking for English speakers to contribute their expertise toward training and refining cutting-edge AI systems. If you're passionate about improving models and excited by the future of AI, this is your opportunity to make a real impact.

What You’ll Do

• Adopt a “user mindset” to produce natural data to meet the realistic needs you have or would use AI for.

• Evaluate AI outputs by reviewing and ranking responses from large language models.

• Contribute across projects depending on your specific skillset and experience.

What We’re Looking For

• Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.

• Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses.

• Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs.

Nice to Have

• Experience in fields like literature, creative writing, history, philosophy, theology, etc.

• Prior writing or editorial experience (content strategist, technical writer, editor, etc.).

• Interest or background in AI, machine learning, or creative tech tools.

Pay & Logistics

• Base Rate : Up to $15 / hour USD, depending on experience.

• Bonuses : Additional pay available based on project performance.

• Type : Freelance / 1099 contract — not an internship.

• Location : 100% remote

• Schedule : Flexible hours — you choose when and how much to work.

• Payouts : Weekly via our secure platform.

This is a freelance position that is paid on a per-hour basis. We don’t offer internships as this is a freelance role. You also must be authorized to work in your country of residence, and we will not be providing sponsorship since this is a 1099 contract opportunity. However, if you are an international student, you may be able to sign up if you are on a visa. You should contact your tax / immigration advisor with specific questions regarding your circumstances. We are unable to provide any documentation supporting employment at this time. Please be advised that compensation rates may differ for non-US locations.




## Full Description
Location : Remote – Nigeria

Employment Type : Full-Time

Salary Range : ₦400,000 NGN / month

About Beauty N Brushes

Beauty N Brushes (BNB) is an AI-powered beauty booking platform helping clients book the exact look they want by connecting them to top beauty professionals through visuals.

We’re looking for a talented digital marketer who can build and scale our marketing engine using AI, automation, and data-driven strategies. This person will play a key role in driving awareness, sign-ups, and retention for our upcoming launch.

Role Overview

You’ll be responsible for owning our marketing funnel end-to-end — from content strategy and ad campaigns to automation flows and analytics.

You’ll use your expertise in Instagram and TikTok Ads, email marketing, and AI tools to build efficient growth systems that convert new users and re-engage drop-offs from our web app.

Key Responsibilities

• Plan, execute, and optimize Instagram and TikTok ad campaigns to grow user acquisition.

• Build AI-powered marketing automations (using tools like ManyChat, Zapier, or n8n) for lead capture and onboarding.

• Create and test landing pages for sign-ups, early access, and campaigns.

• Design email marketing flows for re-engagement, onboarding, and nurturing leads.

• Use web analytics and user behavior tracking (e.g., Meta Pixel, Google Analytics, or Hotjar) to re-target users who drop off mid-journey.

• Manage our content funnels, collaborating with the content and design teams.

• Use AI tools (e.g., ChatGPT, Jasper, OpusClip, or Synthesia) to create faster, more effective campaigns.

• Report on campaign performance and identify new growth opportunities.

Ideal Candidate

• 3+ years of experience in digital marketing or growth roles.

• Hands-on experience with Instagram and TikTok Ads.

• Skilled at setting up marketing automations (e.g., ManyChat, Zapier, n8n, or HubSpot).

• Experience building landing pages (e.g., Webflow, Framer, Carrd, or ClickFunnels).

• Proficient in email marketing tools (MailerLite, Klaviyo, ConvertKit, or ActiveCampaign).

• Strong understanding of analytics, pixels, and retargeting.

• Familiarity with web app marketing — driving conversions and bringing users back.

• Creative thinker who uses AI tools to enhance content, targeting, and campaigns.

• Excellent communication and results-driven mindset.

Bonus Skills (Nice to Have)

• Experience marketing startups or marketplaces.

• Background in beauty, lifestyle, or tech industries.

• Basic design skills for quick ad or landing page creation (Canva, Figma).

Compensation

• ₦400,000 NGN per month (based on experience & performance)

• Long-term opportunity with growth potential as the brand expands.

How to Apply

Please send to Ruth@beautynbrushes.com :

1. A short introduction and why you’re interested in working with Beauty N Brushes.

2. Links or screenshots of campaigns or automations you’ve built.

3. A brief description of one AI or automation tool you’ve used and how it helped improve marketing results.

4. Your resume

Why Join Us

You’ll be at the center of an AI-driven beauty tech revolution — helping us create smarter marketing systems that connect beauty professionals and clients across Africa and beyond. You’ll have the freedom to innovate, experiment, and lead growth initiatives with real impact.



AI & Data Engineer Entry Level

Full Description