Software Engineering AI Task Author

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help people discover specialized projects, build a professional profile, and grow experience shaping how modern AI systems work.

As an OpenTrain contractor, you will contribute to practical AI training work that connects your software engineering expertise with the development and evaluation of advanced AI agents.

• Remote work available worldwide
• Part-time contractor opportunity
• 20+ hours per week
• English-language role
• $70–$120 USD per hour

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create examples, evaluate model behavior, and define what accurate, useful performance looks like so AI systems can improve.

In this role, your engineering judgment will help teach AI agents how to reason through realistic software failures, diagnose root causes, and produce correct, verifiable fixes.

• Work directly on cutting-edge AI development
• Apply professional expertise to realistic engineering scenarios
• Help shape how advanced AI agents handle technical problems

The Role

OpenTrain is seeking a Software Engineering AI Task Author to create expert-level tasks that train and evaluate advanced AI agents on realistic enterprise engineering work. You will transform authentic debugging scenarios into structured challenges involving integrations, logs, source-code traces, infrastructure, APIs, services, configuration, and CI/CD systems.

This opportunity is listed at the entry level, while the work itself requires hands-on, industry-level software engineering and debugging experience. It is a remote freelance engagement for engineers who can recreate production-like failures, define correct outcomes, and validate fixes.

• Employment type: Contractor and part time
• Schedule: 20+ hours per week
• Location: Worldwide and fully remote
• Primary language: English

What You'll Do

You will design realistic software engineering challenges and ensure that each task has a clear, technically sound path to resolution. Your work will combine task authoring, environment setup, implementation, verification, and evaluation design.

• Author prompts covering integration failures, log-based debugging, code defects, and configuration fixes.
• Write scoring rubrics with precise, checkable correctness criteria.
• Set up realistic codebases, logs, alerts, and system states for plausible engineering scenarios.
• Implement and verify the actual fix for each task so the challenge and rubric are reliable.
• Validate outcomes in live or simulated environments where appropriate.
• Adjust code complexity, log volume, failure modes, and ambiguity to calibrate task difficulty.
• Review and correct AI-drafted task prompts and rubrics when provided.

Required Experience And Skills

This role is suited to engineers who are comfortable diagnosing real system failures and communicating technical correctness precisely. You should be able to trace issues across code, logs, services, and configuration, then implement and verify a dependable fix.

• Hands-on software engineering experience debugging real system failures and tracing issues through source code and logs.
• Fluency with Git, version control workflows, and code review practices.
• Practical experience with APIs, services, infrastructure, configuration files, or CI/CD systems.
• Experience reading logs, using observability tools, and tracing failures through codebases.
• Ability to implement and verify fixes in live or simulated environments.
• Ability to define precise, checkable criteria for engineering outcomes.
• Strong written communication and close attention to detail when authoring prompts and rubrics.

Helpful Background

Experience in complex software environments can be useful when creating realistic engineering tasks. Familiarity with monitoring and incident-response workflows may also help you build credible scenarios and evaluation criteria.

• Fintech experience
• Enterprise SaaS experience
• Regulated-industry software experience
• Microservices or event-driven systems experience
• Familiarity with Datadog, PagerDuty, Grafana, or similar observability platforms

Build Your AI Training Career

AI training and data labeling are growing fields where specialists help develop the systems used across modern technology. OpenTrain gives contributors a place to discover projects, demonstrate their expertise, and build a lasting profile around their work.

Creating an OpenTrain account is free, and you can apply to opportunities that match your background in minutes.

• Build a portfolio of specialized AI training work
• Find projects that match your professional skills
• Grow experience in a fast-moving AI industry