AI Data Scientist for Model Evaluation

About OpenTrain

OpenTrain AI helps people find and build careers in AI training and data labeling. As the hiring and contracting organization for this role, OpenTrain connects qualified specialists with projects where human expertise directly improves advanced AI systems.

Create a free OpenTrain account to build your profile and apply in minutes. This opportunity is designed for experienced data professionals who want to contribute their analytical judgment to the development of AI.

About AI Training and Model Evaluation

AI training is the human work behind modern artificial intelligence. Specialists review model outputs, compare competing answers, write high-quality examples, and identify errors so AI systems become more accurate, reliable, and useful.

In this role, your data science and machine learning expertise will help evaluate analytical reasoning, quantitative claims, code, and model behavior across varied use cases.

The Role

OpenTrain is recruiting an AI Data Scientist to review AI-generated analytical reasoning, code, and model outputs, then create reference solutions and explanations for complex data problems. You will assess accuracy, clarity, prompt adherence, methodology, modeling choices, statistical reasoning, and quantitative claims.

You will also compare multiple AI responses to determine which is most correct and well reasoned. This is a remote contractor engagement focused on AI model evaluation and training content work in data science and machine learning.

• Experience level listed: Entry level
• Engagement: Contractor and part time
• Time requirement: 20+ hours per week
• Work arrangement: Remote
• Payment type: Hourly

What You'll Do

• Review AI-generated analytical reasoning, code, and model outputs for accuracy and clarity.
• Write step-by-step reference solutions and explanations for complex data problems.
• Fact-check quantitative claims and identify methodological or statistical errors.
• Rate and compare multiple AI responses based on correctness and reasoning quality.
• Create detailed prompts and responses to support AI learning across varied topics.
• Test AI models for inaccuracies or bias and validate reliability across use cases.

Required Qualifications

The role requires strong quantitative judgment, practical data science experience, and the ability to communicate technical reasoning clearly in English. Candidates should be systematic, detail-oriented, and committed to quality and reproducibility.

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field.
• 5+ years of professional experience as a Data Scientist or in a closely related analytical role.
• Strong Python skills for data analysis and machine learning, including pandas, NumPy, and scikit-learn.
• Solid background in statistics, experimental design, and applied probability.
• Hands-on experience building, evaluating, and deploying machine learning models.
• Advanced SQL skills and comfort working with large, complex datasets.
• Minimum C1 English proficiency and the ability to write clear quantitative explanations.
• Experience with data visualization tools or dashboards and presenting findings to stakeholders.
• Strong attention to detail, with a systematic focus on quality, reproducibility, and careful evaluation of reasoning steps.

Helpful Background

• Prior experience with AI data training, annotation, or reviewing AI-generated analytical content.
• Model evaluation experience.
• Research-oriented data science work.
• Machine learning experience with real-world business or product datasets.

Compensation and Locations

This is hourly paid work, with rates of $60 to $100 per hour and a maximum rate of $100 per hour. Country-based variants may offer up to $50, up to $70, or up to $100 per hour depending on location.

The role is remote and hiring is listed across Vietnam, Timor-Leste, Thailand, Singapore, Pakistan, the Philippines, Nepal, Malaysia, Sri Lanka, Cambodia, Indonesia, Bhutan, Bangladesh, India, Brazil, Germany, and the United States. Future projects may become available as relevant opportunities arise.

Apply Through OpenTrain

If you can evaluate quantitative reasoning, explain data science methods step by step, and identify weaknesses in AI-generated work, this opportunity lets you apply your expertise to cutting-edge model training. Apply through OpenTrain to be considered for this remote contractor project and relevant future opportunities.