AI Prompt and Policy Specialist

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 people discover projects, build a professional profile, and grow their experience in this fast-moving field.

Creating an OpenTrain account is free, and contractors can use their profile to showcase relevant work and pursue opportunities that match their skills.

About AI Training and Data Labeling

AI training is the human side of building artificial intelligence. People help modern AI systems improve by writing prompts, evaluating model responses, checking tool use, reviewing safety behavior, and preparing examples that guide how systems interact with users and external services.

This work is remote and often flexible, allowing contributors to participate in cutting-edge AI projects while developing practical experience in evaluation, policy, and quality assurance.

The Role

OpenTrain AI is hiring an AI Prompt and Policy Specialist to improve how AI systems interact with tools, APIs, and users across multiple locales. This remote contractor opportunity is suited to professionals who combine technical fluency with policy judgment, careful evaluation, and clear written communication.

The role is listed at the entry level and requires a commitment of 20+ hours per week. Successful contractors typically have 3 to 6 years of experience in AI operations, content review, quality assurance, product operations, policy, or technical support.

• Employment type: Contractor and part-time
• Time requirement: 20+ hours per week
• Language: English
• Eligible countries: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Türkiye, Brazil, and Mexico
• Work arrangement: Remote

What You'll Do

You will design, review, and refine prompts and structured instructions for AI systems that interact with external services. You will also evaluate system behavior, document findings, and help improve the policies and workflows that guide these interactions.

• Interpret API and JSON schemas and verify arguments and parameters.
• Use basic SQL to validate data and investigate system behavior.
• Create, document, and maintain policies for content handling, safety, and tool workflows.
• Evaluate responses for correctness, parameter usage, critical reasoning quality, safety, and compliance.
• Document edge cases, decision rationales, and recommendations.
• Validate prompts and responses across languages and locales when needed.
• Use evaluation findings to improve prompts, policies, and operational workflows.

Requirements

You should be comfortable combining technical analysis with careful policy judgment. Strong written communication, multilingual awareness, safety judgment, critical reasoning, and attention to detail are essential when reviewing harmful, abusive, ambiguous, or policy-sensitive content.

• API and JSON schema literacy, including accurate interpretation of arguments and parameters.
• Basic SQL skills for validation, issue investigation, and behavioral analysis.
• Prompt engineering and structured instruction writing for AI or automation systems.
• Experience creating and applying policies for content handling, safety, and tool workflows.
• Critical reasoning for ambiguous cases and evaluation of AI response quality.
• Clear written communication and strong attention to detail.
• Familiarity with SaaS workflows and user-facing edge cases is helpful.
• Typical background of 3 to 6 years in AI operations, content review, quality assurance, product operations, policy, or technical support.

Who Should Apply

This opportunity may suit professionals who enjoy examining how AI systems behave and translating complex situations into clear instructions, policies, and evaluation decisions. It is especially relevant for people with experience in prompt writing, operational policy, quality assurance, technical support, or content and safety review.

• Professionals interested in improving AI tool use and user interactions.
• Careful reviewers who can explain decisions and identify edge cases.
• Candidates comfortable working with structured data, APIs, JSON, and basic SQL.
• Applicants who can assess safety, compliance, and response quality consistently.

How This Work Supports Better AI

Every major AI system depends on human expertise to review examples, assess outputs, and establish reliable behavior. By refining prompts and policies and evaluating how systems handle real-world edge cases, you will contribute directly to the quality, safety, and usefulness of AI applications.