AI Model Evaluation Data Scientist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes.

Creating an OpenTrain account is free. Your profile can help you demonstrate relevant experience and grow a durable portfolio in the rapidly expanding AI training industry.

About AI Model Evaluation Work

AI training is the human side of building artificial intelligence. People evaluate model behavior, prepare datasets, write and rank responses, and provide detailed feedback that helps modern AI systems become more accurate, useful, and reliable.

This role combines data science and technical analysis with generative AI evaluation. Your work will support model training, supervised fine-tuning, and reinforcement learning with human feedback, placing you close to the development of cutting-edge AI systems.

The Role

OpenTrain AI is seeking a remote AI Model Evaluation Data Scientist to develop Python solutions and analyze datasets that support AI model training and improvement. You will combine technical analysis with clear written reasoning to translate complex findings into useful improvements for AI systems.

This is an entry-level, fully remote contractor assignment with a one-month contract term. The expected commitment is at least 20 hours per week, with options to work 20, 30, or 40 hours per week and four hours of daily overlap with Pacific Time.

• Contractor and part-time engagement
• One-month contract term
• Fully remote and worldwide
• Commitment of 20, 30, or 40 hours per week
• At least 20 hours per week required
• Four hours of daily overlap with Pacific Time
• Fluent conversational and written English required

What You'll Do

You will work across model evaluation, response ranking, supervised fine-tuning, and reinforcement learning with human feedback. The work requires careful analysis, consistent judgment, and the ability to explain why an evaluation decision is appropriate.

You will also use public datasets, including data from Kaggle, the United Nations, and the US government, to answer business questions and support data-informed model improvement.

• Design, develop, and maintain high-quality Python code for training and optimizing AI models.
• Conduct evaluations to benchmark model performance and analyze results.
• Evaluate and rank model responses to user queries using predefined criteria.
• Write comprehensive explanations and rationales for evaluation decisions.
• Create and maintain task-specific datasets for supervised fine-tuning.
• Collaborate with researchers and annotators on RLHF and reward-model refinement.
• Create and refine responses for clarity, relevance, and technical accuracy.
• Review code and documentation, identify issues, and provide constructive feedback.
• Use public datasets to answer business questions.

Requirements

This role is suited to a data scientist or analyst who can combine Python programming, data analysis, and sound judgment. You should be able to communicate technical reasoning clearly in Jupyter notebooks or comparable formats and collaborate effectively with researchers and other stakeholders.

• Proficiency in Python for AI model training, optimization, and debugging
• Strong data analysis, business judgment, and problem-solving skills
• Ability to evaluate and rank model responses against predefined criteria
• Ability to write clear, comprehensive technical rationales
• Familiarity with supervised fine-tuning and reinforcement learning with human feedback
• Bachelor's or master's degree in engineering, computer science, or equivalent experience
• Effective communication with researchers and other stakeholders
• Fluent conversational and written English

Who Should Apply

Apply if you are an entry-level data scientist, analyst, engineer, or technically minded AI contributor who enjoys investigating model behavior and turning findings into clear recommendations. Strong Python skills, analytical thinking, and careful written explanations are central to the assignment.

This opportunity may appeal to people who want practical experience with model evaluation, response ranking, fine-tuning datasets, and RLHF while working remotely on a flexible part-time schedule.

• Data scientists and analysts with strong Python skills
• Engineers or computer science professionals with equivalent experience
• Candidates who communicate complex technical reasoning clearly
• Contributors interested in generative AI evaluation and human feedback

How to Apply Through OpenTrain

Create a free OpenTrain account, build your profile around your Python, data analysis, and AI evaluation experience, and apply in minutes. OpenTrain helps you manage your AI training career in one place while building a credible portfolio of relevant work.

As an OpenTrain contractor, you will contribute to the human feedback and evaluation processes that help AI models learn from better examples, stronger judgments, and clearer technical guidance.