Review CNC manufacturing job packs for authenticity, technical relevance, completeness, and workflow consistency. This remote, part-time contractor role pays $40-$50 per hour and requires practical CNC and manufacturing documentation experience.
General Annotation
100% Remote Hourly · $40–$50/hr
$40–$50/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 7, 2026
Posted
Open worldwide
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OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with projects that help improve how modern AI systems understand technical information, while helping you build a durable professional portfolio.
About AI Training Work
AI training is the human side of building artificial intelligence. Experts review, evaluate, and organize real-world examples so AI systems can produce more useful and reliable results. This role applies your CNC manufacturing knowledge to evaluating technical documentation used in an AI evaluation and manufacturing workflow research project.
Remote work that can fit around other commitments
Part-time, project-based contractor work
An opportunity to contribute specialized manufacturing expertise to cutting-edge AI development
The Role
OpenTrain AI is recruiting a CNC Manufacturing Documentation Reviewer to assess real-world CNC job packs. You will determine whether submitted documentation appears authentic, technically relevant, complete, and connected to the same part, drawing, customer part number, or production workflow.
This is a remote, part-time, project-based contractor role available worldwide. The expected time commitment is 20 or more hours per week, and the advertised rate is $40-$50 per hour. Work is conducted in English.
Role type: Part-time contractor
Work arrangement: Remote, worldwide
Time requirement: 20+ hours per week
Pay: $40-$50 per hour
Primary data type: Manufacturing documentation
Core task: Evaluation and rating
What You'll Review
You will evaluate whether the materials in a job pack are meaningful, technically connected, and representative of genuine CNC manufacturing work. Your review may cover production, programming, setup, inspection, and quality records.
Engineering drawings and ballooned drawings
Tolerances, material specifications, and manufacturing instructions
Setup sheets, tooling lists, process plans, route cards, and job cards
Control plans, inspection records, QC checklists, and CMM reports
CAD files, CAM outputs, toolpaths, G-code, and NC files
Setup instructions, material certificates, and mill test reports
What You'll Do
You will assess whether a job pack represents real CNC manufacturing work rather than generic, artificial, AI-generated, or publicly available material. You will compare artifacts to determine whether they belong to the same part or production workflow and communicate a concise quality recommendation.
You will also identify documentation issues and flag confidential or sensitive information that may require redaction.
Check whether documentation is authentic, complete, and technically relevant
Assess whether drawings, files, instructions, and records are connected to the same job
Evaluate CAD/CAM materials, toolpaths, G-code, and NC files for technical meaning and consistency
Identify missing, weak, inconsistent, or low-value artifacts
Flag confidential or sensitive information for redaction
Provide concise written quality recommendations
Required Skills and Experience
You should have direct experience in CNC manufacturing, CNC programming, machining, or manufacturing quality control, with practical knowledge of CNC milling and/or CNC turning. The project is listed at an entry level, but hands-on CNC and documentation experience is required to make sound technical judgments.
Strong attention to detail and the ability to explain technical quality findings clearly in written English are essential.
Ability to interpret engineering drawings, GD&T, machining tolerances, and manufacturing documentation
Familiarity with CAD/CAM workflows, G-code, NC files, toolpaths, setup sheets, process routes, and tooling lists
Ability to assess whether manufacturing artifacts are complete, authentic, technically connected, and suitable for review
Ability to communicate technical quality findings clearly in written English
Strong attention to detail
Why Work With OpenTrain
AI training and data-labeling work is a growing part of the technology industry, and specialized expertise is especially valuable in projects involving technical documents and manufacturing workflows. By contributing your knowledge, you help shape how AI systems evaluate complex real-world information.
OpenTrain gives you a place to build a profile that reflects your AI training experience, discover projects aligned with your skills, and develop a long-term portfolio. Creating an OpenTrain account is free.
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