Software Engineering Task Author

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, build a professional profile, and grow their careers teaching and evaluating AI systems.

• Free to create an OpenTrain account
• Remote opportunities across the fast-growing AI training industry
• A flexible way to build experience shaping how advanced AI systems work

About AI Training Work

AI training is the human side of building artificial intelligence. Engineers, writers, analysts, and other specialists create examples, evaluate model outputs, and define what high-quality performance looks like so AI systems can become more capable and reliable.

• Work directly on cutting-edge AI systems
• Use your professional expertise to create realistic training and evaluation data
• Complete flexible, remote work that can fit around other commitments

The Role

OpenTrain AI is recruiting a Software Engineering Task Author to design authentic engineering challenges that train and evaluate advanced AI agents on real enterprise software work. This hands-on contract role involves authoring realistic prompts, building plausible engineering environments, solving each task yourself, and validating precise scoring criteria.

The role is fully remote and flexible, with a task-based commitment of 20 or more hours per week. It is open to contractors in the United States who work fluently in English.

• Contractor role
• Part-time, task-based commitment
• 20+ hours per week
• Fully remote
• United States
• English fluency required
• $70–$120 per hour

What You'll Do

You will create engineering tasks that place an AI agent in realistic software development and production scenarios. Each task must have a clear objective, a credible environment, and checkable criteria for determining whether the diagnosis or fix is correct.

• Author prompts covering integration failures, log-based debugging, bug traces through source code, and configuration or integration fixes
• Write scoring rubrics that define correct fixes or diagnoses, including live-environment validation
• Set up realistic codebases, logs, alerts, and system states
• Solve each task yourself and verify that the actual fix works
• Calibrate difficulty by adjusting code complexity, log volume, failure modes, or ambiguity
• Review and correct AI-drafted task prompts or rubrics when provided

Required Qualifications

This role requires hands-on, industry-level software engineering experience. You should be comfortable diagnosing real system failures, tracing problems through code, implementing fixes, and explaining how to verify engineering outcomes.

• Working software engineer with hands-on industry experience
• Fluency in Git, version control workflows, and code review practices
• Strong debugging skills, including reading logs and using observability tools
• Ability to trace failures through a codebase
• Experience with infrastructure, integrations, APIs, services, and CI/CD configuration
• Ability to write and verify a code fix in a live or simulated environment
• Ability to define precise, checkable correctness criteria

Helpful Background

The following experience can help you create especially realistic and challenging tasks, though it is not listed as required.

• Enterprise SaaS experience
• Financial technology experience
• Large-scale distributed systems experience
• Experience with Datadog, PagerDuty, Grafana, or similar monitoring and observability platforms
• Familiarity with AI tools or developer platforms as an end user

Why Join AI Training

Every major AI system depends on carefully prepared examples and expert evaluation. As a Software Engineering Task Author, you will help shape how AI agents understand debugging, integrations, configuration, and real-world software engineering work.

• Apply your engineering expertise to next-generation AI
• Work remotely with flexible scheduling
• Contribute to realistic, high-value coding and evaluation tasks
• Build experience in one of the fastest-growing areas of technology