Rust Developer - Ai Training

Job description AI Scientist Intern

Location: US

Why join Pearson’s intern program?

Pearson is the world’s learning company.

We help people of all ages acquire the knowledge and skills they need to be successful in their work and careers.

We believe that everyone should be able to keep learning, every day and in every way, throughout their lives.

Bringing together everything we know about the science of learni...ng and the latest technology; we’re shaping the future of teaching and learning.

We’re looking for the next generation of talented undergraduates to join our team for an unforgettable 8-week internship.

An internship at Pearson is an opportunity to bring your own unique perspective as a learner, together with your academic knowledge, technical skills, and enthusiasm, to help create products that help fix the skills challenges faced by learners, employees and employers.

As one of our interns, you will gain a comprehensive introduction to our business.

You’ll be assigned to a team to support real-life projects that bring our products and services to life and are ready to launch to our learners.

On-the-job training and professional development will be provided to enable you to contribute to the business.

You’ll also have direct access to a senior member of the team, as each intern will be mentored to help you make the most of the 8-week program.

During your internship, you will gain valuable hands-on experience to build your resume to stand out with future employers, such as Pearson

We foster a work environment that’s inclusive as well as diverse, where our people can be themselves.

Every idea and perspective are valued so that our products reflect the people we serve — our teachers and students, employers and employees, and consumers and learners.

What Does the Internship Program Offer?

Pearson’s Evaluation Systems group is seeking an AI Scientist Intern to support its human and automated scoring work during a 8-week summer internship.

This role provides an excellent opportunity to gain hands-on experience in large-scale operational scoring while contributing to important projects that impact educational assessments.

Our interns will work either with our human scoring platforms, or AI scoring platforms, or in building or validating AI models.

Pay rate

$35.00 per hour.

You will be eligible for accrued paid sick time per the policy guidelines.

Please refer to the Sick Leave Policy.

Job Description

As an AI Scientist Intern, you will have the chance to join our dynamic Scoring and Insights team for the summer.

This internship offers a valuable opportunity to immerse yourself in research, AI, software development, and data analysis, all while contributing to critical projects focused on educational assessment.

What does the 8-weeks involve?

During the 8-week internship, you will have the opportunity to support one of the following: production software development in our hand-scoring platform (OSCAR), production software development for our automated scoring platforms, design and analysis of key hand-scoring activities (e.g., AI generation of range finding samples), or design, modeling, and analysis of AI initiatives around automated scoring such as gaming detection or training mechanisms.

This position is fully remote, with occasional travel to company offices or partner locations as necessary.

The role is primarily designated as a Remote Employee.

Minimum Requirements/Qualifications

• Currently pursuing or recently completed a degree in Educational Measurement, Psychometrics, Statistics, Computational Linguistics, Machine Learning/AI, or Computer Science.

• Strong analytical and research skills with attention to detail.

• Proficiency in Python

• Excellent written and verbal communication skills.

• Ability to work independently and collaborate effectively within a team.

Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify.

All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.

Pearson believes that wherever learning flourishes, so do people.

We are committed to being an anti-racist company in everything we do.

We value the power of an inclusive culture and a strong sense of belonging.

We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential.

Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work.

People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.

To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here: http://www.pearson.com/careers/diversity-and-inclusion.html

Who We Are

At Pearson, our purpose is simple: to help people realize the life they imagine through learning.

We believe that every learning opportunity is a chance for a personal breakthrough.

We are the world's lifelong learning company.

For us, learning isn't just what we do.

It's who we are.

To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify.

Employment decisions are based on qualifications, merit and business need.

Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law.

We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Data Engineering

Job Family: TECHNOLOGY

Organization: Assessment & Qualifications

Schedule: FULL_TIME

Workplace Type

Req ID: 22900

#location Show full description Report this listing Loading... .vyDMJf-gXhOqb-Bz112c{display:inline-block;fill:currentColor;height:24px;line-height:24px;position:relative;width:24px}.vyDMJf-gXhOqb-Bz112c svg{display:block;height:100%;width:100%} Y YO IT CONSULTING Share Rust Developer - Ai Training YO IT CONSULTING • Atlanta, GA, United States • via ZipRecruiter 5 days ago Full-time, Part-time and Contractor Apply directly on ZipRecruiter Apply on Jobrapido
(function(){ (this||self).Bqpk9e=function(f,d,n,e,k,p){var g=document.getElementById(f);if(g&&(g.offsetWidth!==0||g.offsetHeight!==0)){var l=g.querySelector("div"),h=l.querySelector("div"),a=0;f=Math.max(l.scrollWidth-l.offsetWidth,0);if(d>0&&(h=h.children,a=h[d].offsetLeft-h[0].offsetLeft,e)){for(var m=a=0;m<d;++m)a+=h[m].offsetWidth;a=Math.min(f,a)}a+=n;d=Math.min(e?f-a:a,f);l.scrollLeft=e&&p?a:e&&k?-a:d;var b=g.getElementsByTagName("g-left-button")[0],c=g.getElementsByTagName("g-right-button")[0];b&&c&&(e= RegExp("\btHT0l\b"),k=RegExp("\bpQXcHc\b"),b.className=b.className.replace(e,""),c.className=c.className.replace(e,""),b.className=d===0?"pQXcHc "+b.className:b.className.replace(k,""),c.className=d===f?"pQXcHc "+c.className:c.className.replace(k,""),setTimeout(function(){b.className+=" tHT0l";c.className+=" tHT0l"},50))}};}).call(this);(function(){var id='sjsuid_26';var index= 0 ;var offset= 0 ;var is_rtl= false ;var is_gecko= false ;var is_edge= false ;var init='Bqpk9e';windowinit;})(); Job highlights Identified by Google from the original job post Qualifications • You hold aBS, MS, or PhD in Computer Science or a closely related field • You havesignificant real-world experience in software engineeringor related technical roles • You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) • You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently • You have experience contributing to well-known open-source projects, including merged pull requests • You havesignificant experience using LLMs while codingand understand their strengths and failure modes • You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws • Prior experience with RLHF, model evaluation, or data annotation work • Track record in competitive programming • Experience reviewing code in production environments • Familiarity with multiple programming paradigms or ecosystems • Experience explaining complex technical concepts to non-expert audiences • You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions • 10 more items(s) Benefits • Schedule: Full-Time or Part-Time Contract Responsibilities • We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems • This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels • The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts • Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness • Conduct fact-checkingusing trusted public sources and authoritative references • Conduct accuracy testing byexecuting code and validating outputs using appropriate tools • Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies • Assess code quality, readability, algorithmic soundness, and explanation quality • Ensuremodel responses align with expected conversational behaviorand system guidelines • Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelines • Your feedback improves the correctness, robustness, and clarity of AI coding outputs • You deliver reproducible evaluation artifacts that strengthen model performance • 9 more items(s) More job highlights Job description Work Mode: Remote

Engagement Type: Independent Contractor

Schedule: Full-Time or Part-Time Contract

Language Requirement: Fluent English

Role Overview

We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems.

This project focuses specifically on evaluating and improving how AI systems reason about code, generate programmi...ng solutions, and explain technical concepts across various complexity levels.

The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts.

What Youll Do

Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness

Conduct fact-checkingusing trusted public sources and authoritative references

Conduct accuracy testing byexecuting code and validating outputs using appropriate tools

Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies

Assess code quality, readability, algorithmic soundness, and explanation quality

Ensuremodel responses align with expected conversational behaviorand system guidelines

Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelines

Who You Are

You hold aBS, MS, or PhD in Computer Science or a closely related field

You havesignificant real-world experience in software engineeringor related technical roles

You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust)

You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently

You have experience contributing to well-known open-source projects, including merged pull requests

You havesignificant experience using LLMs while codingand understand their strengths and failure modes

You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws

Nice-to-Have Specialties

Prior experience with RLHF, model evaluation, or data annotation work

Track record in competitive programming

Experience reviewing code in production environments

Familiarity with multiple programming paradigms or ecosystems

Experience explaining complex technical concepts to non-expert audiences

What Success Looks Like

You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions

Your feedback improves the correctness, robustness, and clarity of AI coding outputs

You deliver reproducible evaluation artifacts that strengthen model performance Show full description Report this listing More jobs at YO IT CONSULTING See web results for YO IT CONSULTING .vyDMJf-gXhOqb-Bz112c{display:inline-block;fill:currentColor;height:24px;line-height:24px;position:relative;width:24px}.vyDMJf-gXhOqb-Bz112c svg{display:block;height:100%;width:100%} O OmegaHires Share Python AI Engineer (Prompt & Agentic Systems) OmegaHires • Atlanta, GA, United States • via OmegaHires - JazzHR 4 days ago Contractor Apply on OmegaHires - JazzHR
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(function(){ (this||self).Bqpk9e=function(f,d,n,e,k,p){var g=document.getElementById(f);if(g&&(g.offsetWidth!==0||g.offsetHeight!==0)){var l=g.querySelector("div"),h=l.querySelector("div"),a=0;f=Math.max(l.scrollWidth-l.offsetWidth,0);if(d>0&&(h=h.children,a=h[d].offsetLeft-h[0].offsetLeft,e)){for(var m=a=0;m<d;++m)a+=h[m].offsetWidth;a=Math.min(f,a)}a+=n;d=Math.min(e?f-a:a,f);l.scrollLeft=e&&p?a:e&&k?-a:d;var b=g.getElementsByTagName("g-left-button")[0],c=g.getElementsByTagName("g-right-button")[0];b&&c&&(e= RegExp("\btHT0l\b"),k=RegExp("\bpQXcHc\b"),b.className=b.className.replace(e,""),c.className=c.className.replace(e,""),b.className=d===0?"pQXcHc "+b.className:b.className.replace(k,""),c.className=d===f?"pQXcHc "+c.className:c.className.replace(k,""),setTimeout(function(){b.className+=" tHT0l";c.className+=" tHT0l"},50))}};}).call(this);(function(){var id='sjsuid_28';var index= 0 ;var offset= 0 ;var is_rtl= false ;var is_gecko= false ;var is_edge= false ;var init='Bqpk9e';windowinit;})(); Job highlights Identified by Google from the original job post Qualifications • Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask) • Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows • Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling) • Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents) • Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning • Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management • Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks • Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention) • Experience with Azure (or AWS/GCP) AI services, key vaults, and networking • Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access • Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain • Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas) • Background in LLM finetuning, RLHF/DPO, or synthetic data generation • Front-end basics for AI UX (React/Next.js) or chat UI patterns • Domain knowledge in HR/ATS, customer support, or internal enterprise workflows • 12 more items(s) Responsibilities • We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows) • You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs • Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support • Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost • Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls • RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies • Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls • API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks • MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance • Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging • Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features • 8 more items(s) More job highlights Job description Job Title: Python AI Engineer (Prompt & Agentic Systems)

Location: Hybrid –Atlanta, GA (3 days/week onsite)

About the Role

We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ra...nging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.

Key Responsibilities

• Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.

• Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.

• Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.

• RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.

• Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.

• API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.

• MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.

• Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.

• Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.

Required Qualifications

• Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).

• Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.

• Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).

• Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).

• Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.

• Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.

• Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.

• Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).

Nice to Have

• Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.

• Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.

• Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.

• Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).

• Background in LLM finetuning, RLHF/DPO, or synthetic data generation.

• Front-end basics for AI UX (React/Next.js) or chat UI patterns.

• Domain knowledge in HR/ATS, customer support, or internal enterprise workflows. Show full description Report this listing Loading...