Forward Deployed MTS
Micro1 • Remote • Posted 110 days ago
Education
Any
Type
Pay Rate
$40/task
Posted
110d ago
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About this Role
About Us
micro1 builds the human data and evaluation infrastructure that powers modern AI systems. Our platform is used by frontier AI labs and Fortune 10 companies to source, assess, and deploy elite human expertise directly into model training, evaluation, and feedback loops. We combine applied AI, large-scale human data, and rigorous evaluation frameworks to improve model performance in production. From our AI recruiter and intelligence platform to internal data quality and research tooling, micro1 turns expert human judgment into high-signal datasets, measurable outcomes, and continuously improving AI systems.
Role
As a Forward Deployed MTS, you sit at the boundary of customer delivery, applied research, and production engineering. You own AI data and training pipelines end-to-end, translating real-world signals into scalable, production systems that directly improve model performance.
What You’ll Do
Partner directly with researchers at frontier AI labs to identify model gaps, define success metrics, and shape training strategy. Work embedded with customers to identify gaps, define success, and drive execution. Design task formats, evaluations, and training setups aligned to real-world objectives. Rapidly ship high-quality outputs using Off-The-Shelf (OTS) pipelines; own new pipelines from kickoff to production. Build and maintain production-grade code, integrations, and automated data/training workflows. Act as the technical owner for pipeline architecture, bridging researchers, customers, and internal platform teams.
What We’re Looking For
Strong engineering background with ownership of complex systems from design to production. Experience owning end-to-end AI or data pipelines in production environments. Comfort operating in ambiguity, moving fast, and shipping repeatedly. Clear communicator who can translate customer feedback into technical execution. Proven ability to lead technical delivery and mentor others.
Nice to Have
Experience with model training workflows or applied ML systems. Background in applied research or customer-embedded engineering roles.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Compensation Analysis
micro1 builds the human data and evaluation infrastructure that powers modern AI systems. Our platform is used by frontier AI labs and Fortune 10 companies to source, assess, and deploy elite human expertise directly into model training, evaluation, and feedback loops. We combine applied AI, large-scale human data, and rigorous evaluation framework
Skills & Categories
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.