Data Science Expert for AI Training

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain helps people build careers in AI training and data labeling, where human experts create and review the examples modern AI systems learn from.

• Free account creation and a streamlined application process
• Remote opportunities supporting cutting-edge AI development

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists write prompts, create examples, evaluate model responses, and prepare technical content so AI systems can become more accurate, useful, and reliable.

• Work with advanced AI projects across a fast-growing field
• Flexible project-based work that can fit around other commitments
• Apply specialist knowledge directly to the development of AI systems

The Role

OpenTrain is seeking a Data Science Expert with expert Python and SQL skills to design and verify computational, business-realistic data science problems. The work focuses on original text-based content covering real analytical workflows across industries such as telecommunications, finance, government, e-commerce, and healthcare.

You will create problems that are computationally intensive rather than reasonably solvable by hand, with realistic contexts involving fraud, forecasting, optimization, risk, and customer analytics. Solutions must be deterministic and reproducible, including fixed random seeds when needed, and supported by clear documentation and verification using standard data science libraries.

• Project-based contractor role, not permanent employment
• Listed pay range: $15 to $40 per hour
• Active project phases require approximately 10 to 20 hours per week; the listing also indicates 20+ hours per week
• Global listing with a USA location restriction noted in screening requirements

What You’ll Do

You will author and assess end-to-end computational data science tasks. Depending on the problem, your work may span data ingestion, cleaning, exploratory data analysis, feature engineering, modeling, validation, and deployment considerations.

• Write Python-based data science problems and solutions
• Create prompts, generated text, question-and-answer content, summaries, and evaluation criteria
• Use Pandas, NumPy, SciPy, scikit-learn, and statsmodels for analysis and verification
• Design realistic business problems involving forecasting, fraud, optimization, risk, or customer analytics
• Apply complex SQL joins, aggregations, window functions, and database operations
• Build deterministic workflows with clear documentation and no stochastic ambiguity
• Consider scalability issues such as partitioning, performance, and memory constraints
• Incorporate GenAI concepts including LLMs, RAG, prompt engineering, and vector databases
• Account for MLOps and model deployment concerns such as packaging, reproducibility, and basic monitoring

Requirements

This role is intended for experienced data science specialists who can combine strong technical judgment with clear written communication. You should be able to produce business-realistic, reproducible problems and verify that their answers are correct.

• At least 5 years of hands-on data science experience with demonstrated business impact
• Expert Python skills for data science, including Pandas, NumPy, SciPy, scikit-learn, and statsmodels
• Expert SQL skills, including complex joins, aggregations, window functions, and database operations
• Deep knowledge of statistics and machine learning, including feature engineering, model selection, evaluation, and error analysis
• Experience designing end-to-end data science workflows from ingestion through validation
• Strong understanding of deterministic and reproducible problem design
• Comfort with Matplotlib for visualization and exploratory analysis; Seaborn is a plus
• Familiarity with big data and scalable processing concepts
• Experience with LLMs, RAG, prompt engineering, and vector databases
• Understanding of MLOps and model deployment workflows
• Experience with TensorFlow or PyTorch; LangChain is a bonus
• Fluent written English at C1+ level or equivalent

Who Should Apply

Apply if you have substantial hands-on data science experience and enjoy turning complex analytical workflows into precise, challenging problems. Strong candidates can explain technical decisions clearly, connect modeling work to business outcomes, and produce solutions that others can reproduce and verify.

The subject matter spans applied data science across multiple industries, so practical experience with varied analytical use cases is valuable. Contributions are expected during active project phases on a part-time, project-based schedule.

• Experienced data scientists with measurable business impact
• Professionals comfortable combining statistical analysis, machine learning, SQL, and software workflows
• Experts who can write clear business problem statements in English
• Contributors available for project-based work, with the listing indicating approximately 10 to 20 active hours weekly

How to Apply Through OpenTrain

Create a free OpenTrain account and apply in minutes. Your profile and application can highlight your data science experience, technical stack, written English ability, and availability for active project phases.

OpenTrain connects qualified contributors with AI training work where expert-written and expert-reviewed examples help shape how modern AI systems perform.

• Create or update your OpenTrain profile
• Showcase Python, SQL, statistics, machine learning, GenAI, and MLOps experience
• Submit your application for consideration
• Complete any role-specific screening steps if requested