OpenAI (Cookbook) Developer Needed for AI Code Review & Evaluation

About OpenTrain

OpenTrain aggregates data-labeling and AI-training jobs from many AI companies and labeling platforms into one searchable place. Creating an OpenTrain account is free and applying to roles on the platform takes just a few minutes.

This listing is posted on OpenTrain to help experienced AI practitioners discover short-term, remote labeling and evaluation work without hunting across multiple sites.

• OpenTrain connects contractors with AI-training opportunities across many clients.
• Account creation is free; applications are quick and centralized.

About AI training (human-in-the-loop) work

AI training (also called data labeling or human feedback work) is the human side of building modern AI: people prepare, review, and rate examples so models learn to be accurate, safe, and useful.

This role focuses on code and design feedback for GPT-based systems: reviewing prompts, API usage, and implementation patterns so developer-facing guidance matches best practices.

• Work is typically remote and flexible — you choose hours and workload.
• Many projects need domain knowledge more than formal credentials; your hands-on experience is what matters here.

The role

We are hiring an experienced OpenAI (Cookbook) developer to review and evaluate AI-generated code snippets, prompts, and explanations that reference OpenAI Cookbook approaches. The role centers on labeling, categorizing, and delivering detailed, structured feedback that improves correctness and developer usability.

Although the platform lists this as an Entry level posting, the role requires deep, hands-on experience: candidates should have 5+ years working with OpenAI’s API and applying Cookbook best practices.

• Position type: Contractor, Part-time.
• Time requirement: Less than 20 hours/week (flexible).
• Pay: $20 per hour (PAY_PER_HOUR, USD).
• Location: Remote, worldwide.

What you'll do day-to-day

Your main responsibility is to analyze AI-generated OpenAI Cookbook implementations and provide clear, actionable evaluations. You will identify errors, inefficiencies, and missing optimizations, and propose improvements based on OpenAI best practices.

You will also run structured AI-driven interviews that assess other developers' OpenAI Cookbook expertise using the provided interview guidelines.

• Label and categorize AI-generated code and explanations for accuracy and adherence to Cookbook guidance.
• Assess API calls, prompt design, embeddings usage, tokenization strategies, and deployment choices.
• Provide structured, concise feedback that developers can apply to improve implementations.
• Conduct interviews that probe candidates' real-world experience, debugging ability, and communication clarity.

Interview tasks & technical checks

The role includes conducting AI-driven interviews focused on technical depth and real-world problem solving. Follow the provided assessment flow: experience assessment, technical debugging, AI evaluation/labeling, communication checks, and final confirmation of readiness.

Use probing questions when answers are vague and require concrete examples, implementations, or solved challenges. Reject candidates who show only theoretical knowledge or fail to debug real code.

• Experience Assessment: ask candidates to describe 5+ years of hands-on OpenAI API and Cookbook projects.
• Technical Knowledge Check: present a buggy API snippet and ask for fixes, optimizations, and cost/token reduction strategies.
• AI Evaluation & Labeling: have candidates assess AI-generated statements for accuracy and suggest corrections.
• Communication & Clarity: require simple, structured explanations of concepts (e.g., tokenization) for a beginner.

Sample debugging prompt to use in interviews

Use this example during technical checks: present the snippet below and ask the candidate to identify the issue, fix it, and propose OpenAI Cookbook optimizations.

Candidates should explain what will go wrong, how to reduce token usage, and when to choose fine-tuning versus embeddings.

• Code snippet to present as plain text:
• import openai
• response = openai.Completion.create(
• model="text-davinci-003",
• prompt="Translate this into French: 'Hello, how are you?'",
• max_tokens=0
• )
• print(response)

Requirements & how to apply

Required experience and skills are taken directly from the role description: you must have 5+ years of hands-on experience with OpenAI’s API, fine-tuning, prompt engineering, embeddings, tokenization strategies, API optimizations, and model deployment. Strong English writing skills are essential for delivering structured feedback.

To apply, create an OpenTrain account (free), submit your application through the listing, and be prepared for a structured interview process where you will demonstrate debugging, evaluation, and communication skills. This is a contractor, part-time engagement paid at $20/hr USD.

• Mandatory: 5+ years working with OpenAI API and Cookbook best practices.
• Mandatory: Strong written English and ability to produce concise, structured feedback.
• Workload: Under 20 hours/week, flexible scheduling.
• Compensation: $20/hour (PAY_PER_HOUR, USD).
• Employment types: Contractor, Part-time. Labeling software: OTHER. Data type: COMPUTER_CODE_PROGRAMMING.