Software Engineer for AI Workflow and QA Automation
Listing checked September 4, 2026 · pay as published by Micro1
Overview
A contractor role at micro1 focused on shaping development workflows and process automation for a customer-centric project. You'll apply your software engineering know-how to support training of next‑gen AI systems through realistic, hands‑on tasks in real environments. Prior AI experience isn’t required; your domain expertise and tooling fluency are what matter. You’ll work remotely on structured evaluation tasks that mirror authentic developer work and help ensure high‑quality input for AI models. CI/CD, Python, REST API, and QA are central to the role.
What You'll Do6
- 1Run simulated development activities that cover version control, code reviews, issue tracking, and CI/CD execution using AI-augmented tooling
- 2Evaluate outputs for technical accuracy by hands‑on verification in relevant IDEs and toolchains
- 3Create and maintain reproducible test ecosystems with real commit histories and CI pipelines for realistic task contexts
- 4Set up and document integrations and authentication flows across multiple services to guarantee smooth connectivity
- 5Investigate undocumented product behaviors through systematic exploration and testing
- 6Join calibration sessions to align evaluation methods and grading with the broader contributor group
Requirements8
- 1At least 3 years of professional software engineering experience with strong Git/GitHub workflows (PRs, reviews, branching, diff analysis, CI logs)
- 2Hands‑on experience with CI/CD systems, preferably GitHub Actions, including custom workflows and reproducible builds
- 3Experience connecting Claude and ChatGPT via connectors
- 4Advanced scripting in Python or Bash, plus solid REST API, OAuth, and webhook integration knowledge
- 5Comfort with enterprise SaaS platforms like Slack, Google Workspace, or Microsoft 365; cloud workspace administration is a plus
- 6Familiarity with using AI assistants or agent tools in daily development tasks; exposure to agent tool‑calling or MCP is advantageous
- 7Background in technical QA, evaluation, or data annotation with careful rubric application and edge‑case identification
- 8Excellent attention to detail and clear written and spoken English communication
Who Should Apply
The ideal candidate is a software engineer with hands‑on Git, CI/CD, and API experience who can work remotely and follow structured evaluation rubrics. This role may be less suitable for someone without three years of software development work or without experience in CI/CD and REST APIs. Common fit gaps include limited GitHub workflow experience or trouble setting up reproducible test environments. If you prefer purely coding tasks without QA or evaluation responsibilities, this role may not be the best match.
Salary Insight
$50 - $70/hr. Pay is defined here and discussed further during the interview process.
Pay and demand for AI Training roles
AggregatedTypical pay
$72/hour
This role
$50–$70/hr
Most AI Training roles pay $42–$98 per hour. This role's pay falls inside that range.
Based on 1,097 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,272
- Listed in last 30 days
- 493
- Remote
- 97%
Hiring most right now: micro1 (368) · SME Careers (253) · Mercor (162)
Most requested skills · share of roles
- ai training13%
- llm evaluation11%
- ai evaluation11%
- data annotation9%
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Compensation
$50–70/hr
Required Skills
Application Tip
Highlight a concrete project where you set up a reproducible CI/CD workflow, including a real commit history and a REST API integration, to show you can create realistic task contexts for AI training.
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