Automation Technician
DataAnnotation · Remote · AI model evaluation
Automation Technician is an open role at DataAnnotation, available remotely, with pay listed as Up to $125/hr.
Applications open on DataAnnotation’s own site. How we make money.
At a glance
- Pay
- Up to $125/hrEstimate, from DataAnnotation’s own wording
- Location
- Remote
- Work type
- AI model evaluation
- Listed
- Since Oct 24, last confirmed Oct 24
As listed by DataAnnotation: “Up to $125+/hr”
How the pay compares
Higher than 86% of the 274 distinct hourly rates advertised for AI model evaluation roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From DataAnnotation’s listing
“Overview We’re looking for an experienced Automation Technician to help train AI models. You’ll write hard, verifiable engineering problems drawn from your own specialty, work out the answers yourself, and show us exactly where today’s AI systems still fall short of a practicing engineer.”
Show the full listing
Overview We’re looking for an experienced Automation Technician to help train AI models. You’ll write hard, verifiable engineering problems drawn from your own specialty, work out the answers yourself, and show us exactly where today’s AI systems still fall short of a practicing engineer. This is a new and fast-growing area for our company, focused on teaching AI to reason like an engineer. The models can already talk fluently about mechanical engineering. What they can’t yet do reliably is the actual work: size a component against a real load case, catch the failure mode a spec sheet doesn’t mention, read a CAD assembly and tell you what interferes at full travel, or predict what a design change breaks downstream. Your engineering judgment becomes the benchmark those models are measured against.
What you’ll actually do Write challenging, closed-ended problems from your area of expertise, built so that solving them requires real engineering reasoning rather than a lookup. Derive the correct answer, verify it, and write a worked solution showing how you got there. Test your problems against AI systems and sharpen the ones they get right until they challenge the model. Review AI-generated engineering analysis, designs, and technical documentation for correctness and real-world applicability. Review other contributors’ problems and solutions for correctness, ambiguity, and rigor. Problems draw on whatever you know best: Mechanical design and CAD: geometry, clearances, tolerances, mechanisms, and the effect of design changes. Structures and materials: stress, deflection, fatigue, buckling, material selection, and failure analysis. Thermal and fluids: heat transfer, thermodynamics, HVAC, pumps and piping, and fluid mechanics. Dynamics and controls: vibration, kinematics, rotating machinery, and control systems. Manufacturing: DFM/DFA, process selection, GD&T, tolerance stack-ups, and cost and quality trade-offs.
Roles this fits Common backgrounds: Automation Technician
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Frequently asked questions
How do I apply for the Automation Technician role at DataAnnotation?
Applications go through DataAnnotation's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. DataAnnotation's access model is "Open / self-serve" (Open application). This listing was first seen here on October 24, 2026 and was still live at the last check.
Is the Automation Technician role at DataAnnotation remote?
Yes - DataAnnotation lists this role as remote.
What does the Automation Technician role at DataAnnotation pay?
DataAnnotation indicates Up to $125/hr for this role, but hedges the figure rather than committing to it. Treat it as an indication: HumanSourcer flags hedged pay instead of presenting it as a firm rate, and the listing's own wording is quoted in the Pay section above.
What kind of work is Automation Technician?
AI model evaluation. Generalist and expert AI training; coding, STEM, law, medicine, writing
Is DataAnnotation a legitimate AI-training platform?
Reported worker-facing operating brand - and that relationship is rated "High - reported, not disclosed on portal" here because it can be checked against nymag.com rather than taken on DataAnnotation's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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