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Qualifications

• To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline

• Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning

• Fluency in English (native or bilingual level)

• Detail-oriented

• Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

• 2 more items(s)

Benefits

• This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity

• This is a full-time or part-time REMOTE position

• You’ll be able to choose which projects you want to work on

• You can work on your own schedule

• Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work

• PayPal will handle any currency conversions from USD

• 3 more items(s)

Responsibilities

• Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

• Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

• Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t

• Share clear, structured feedback to help make each new version of the AI smarter and more reliable

• Give AI chatbots diverse and complex problems and evaluate their outputs

• Evaluate the quality produced by AI models for correctness and performance

• 3 more items(s)

More job highlights

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professiona...l opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

• Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

• Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

• Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.

• Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Benefits:

• This is a full-time or part-time REMOTE position

• You’ll be able to choose which projects you want to work on

• You can work on your own schedule

• Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex problems and evaluate their outputs

• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)

• Detail-oriented

• Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

• A current, in progress, or completed Masters and/or PhD is is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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Qualifications

• Need min 10 years of experience

• We are seeking a skilled AIML Developer with strong data science capabilities to join our innovative team The ideal candidate will have expertise in prompt engineering context engineering Python programming AI tools such as Langsmith and LangGraph and experience with vector databases like Weaviate This role involves developing and deploying advanced AI models integrating AI tools and managing datadriven solutions to support business objectives

• Strong programming skills in Python including experience with AIML libraries and frameworks

• Handson experience with AI tools such as Langsmith and LangGraph for AI application development

• Knowledge of Vector Databases like Weaviate for managing highdimensional embeddings and semantic search

• Solid understanding of data science principles including data analysis feature engineering and model evaluation

• Familiarity with RetrievalAugmented Generation RAG and integration of external knowledge bases

• Ability to work in agile environments and collaborate effectively with technical and nontechnical stakeholders

• Experience with large language models LLMs and foundation model adaptation techniques

• Knowledge of additional AI frameworks such as LangChain or LlamaIndex

• Understanding of AI ethics responsible AI practices and AI governance

• 8 more items(s)

Responsibilities

• Design develop and deploy AI and machine learning models with a focus on data science applications

• Craft effective prompts and manage context engineering to optimize large language model LLM outputs

• Utilize Python programming for AI model development data processing and automation

• Work with AI development tools such as Langsmith and LangGraph to build scalable AI workflows and applications

• Implement and manage vector databases like Weaviate for semantic search and retrievalaugmented generation RAG systems

• Collaborate with crossfunctional teams to integrate AI solutions into business processes

• Stay current with emerging AI technologies and best practices in prompt and context engineering

• Monitor and optimize AI model performance and data pipelines

• Required Skills and Qualifications

• Proficiency in Prompt Engineering Crafting precise inputs to guide AI models for desired outputs

• Expertise in Context Engineering Managing and designing context windows and information flow for LLMs

• 8 more items(s)

More job highlights

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ThinkNorth LLC, is seeking the following. Apply via Dice today!

Job Title: AIML Developer with Data Science Expertise

Location: San Jose, CA (Onsite)

Duration: Contract

Interview Mode: F2F Interview – Need Locals

Job Summary

Need min 10 years of experience.

• We are seeking a skilled AIML Dev...eloper with strong data science capabilities to join our innovative team The ideal candidate will have expertise in prompt engineering context engineering Python programming AI tools such as Langsmith and LangGraph and experience with vector databases like Weaviate This role involves developing and deploying advanced AI models integrating AI tools and managing datadriven solutions to support business objectives

Key Responsibilities

• Design develop and deploy AI and machine learning models with a focus on data science applications

• Craft effective prompts and manage context engineering to optimize large language model LLM outputs

• Utilize Python programming for AI model development data processing and automation

• Work with AI development tools such as Langsmith and LangGraph to build scalable AI workflows and applications

• Implement and manage vector databases like Weaviate for semantic search and retrievalaugmented generation RAG systems

• Collaborate with crossfunctional teams to integrate AI solutions into business processes

• Stay current with emerging AI technologies and best practices in prompt and context engineering

• Monitor and optimize AI model performance and data pipelines

• Required Skills and Qualifications

• Proficiency in Prompt Engineering Crafting precise inputs to guide AI models for desired outputs

• Expertise in Context Engineering Managing and designing context windows and information flow for LLMs

• Strong programming skills in Python including experience with AIML libraries and frameworks

• Handson experience with AI tools such as Langsmith and LangGraph for AI application development

• Knowledge of Vector Databases like Weaviate for managing highdimensional embeddings and semantic search

• Solid understanding of data science principles including data analysis feature engineering and model evaluation

• Familiarity with RetrievalAugmented Generation RAG and integration of external knowledge bases

• Ability to work in agile environments and collaborate effectively with technical and nontechnical stakeholders

• Preferred Qualifications

• Experience with large language models LLMs and foundation model adaptation techniques

• Knowledge of additional AI frameworks such as LangChain or LlamaIndex

• Understanding of AI ethics responsible AI practices and AI governance

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