Workflow Annotator — Software Engineering
Micro1 • Remote
Education
Any
Type
hourly
Pay Rate (by country)
$14–$36/hr
Actively Hiring
10 openings
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About this Role
From the Micro1 listing
Role Title: Workflow Annotator — Software Engineering Role Type: Contractor Location: Remote micro1 is engaging Workflow Annotator — Software Engineering experts to contribute to a dynamic customer project focused on building a library of realistic, multi-step engineering workflows. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work
- Design and author detailed, multi-step task scenarios reflecting authentic software engineering activities, such as pull request management, issue triage, merge conflict resolution, and CI configuration updates using GitHub.
- Execute and document each workflow in real time within actual tools, capturing every step, rationale, edge case, and decision point to ensure comprehensive and accurate records.
- Integrate supplemental collaboration tools where appropriate (Slack, Microsoft 365/Google Workspace, Snowflake) to create end-to-end scenarios mirroring real engineering processes.
- Produce clear, structured documentation for each workflow, including step sequencing, intent at each stage, expected outcomes, and visual artifacts (screenshots, logs) as needed for effective annotation.
- Flag ambiguous or unrealistic scenarios to the data program team and refine workflows based on feedback to maximize realism and utility for annotation purposes.
- Work within the Agora internal annotation platform to submit deliverables and collaborate with project leads. Preferred Qualifications
- Minimum 2 years of professional experience in software engineering with daily use of GitHub-centered workflows.
- Strong command of written English, with an emphasis on clarity, consistency, and attention to detail in documenting processes for others to follow.
- Hands-on familiarity with Slack and Microsoft 365 or Google Workspace as part of regular engineering activities.
- Experience designing or participating in code review, versioning, branching, or release workflows.
- Exposure to CI/CD pipelines, code review platforms, or systems for process documentation is an advantage.
- Basic skills in SQL (preferably with Snowflake) are a plus, though not required.
- Prior experience with data annotation, technical writing, or QA documentation is a bonus.
Requirements
- engineering
- GitHub
- annotation
- Must be eligible to work in Remote
Eligible Languages
Fluent proficiency in English
Why This Role
No office, no fixed hours, no relocation. This Workflow Annotator — Software Engineering role pays $25/hr fully remote, giving you access to STEM work that would otherwise be limited to a handful of major cities.
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
What does task-based AI training work actually look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does STEM work look like for a Workflow Annotator — Software Engineering?
Tasks here are scoped to STEM, not generic labeling. As a Workflow Annotator — Software Engineering, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 10 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
Do I need to be fluent in English?
Yes. This role specifically requires English proficiency. You will likely be evaluated on written fluency during the assessment, not just conversational level. If English is not your first language or you are not professionally fluent, this is not the right role. Filter for your native language to find better-matched listings.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.