Senior Technical Documentation, Parts and Annotation Specialist
micro1Legit · not rated yetPosted yesterday
Pay: $20–60/hr
- Who can apply
- Countries not stated in the listing
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Data annotation
- Openings
- 10 openings
At a glance: A freelance, remote data annotation job with micro1. It pays $20–60/hr, with hours that vary. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 22% of the 204 other software engineering jobs on the board that state pay; 76% pay more.
- This job
- $40/hrMiddle of $20–60/hr
- Median on micro1
- $65/hrFrom 313 other paid jobs
- Median in software engineering
- $65/hrFrom 204 other paid jobs
Requirements
- Qualifications
- Assembly manual authoring from engineering drawings and BOMs
- Industrial parts identification and fitment quoting from photos and catalogs
- Production pattern and marker interpretation
- Image annotation QA
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Role Title: Senior Technical Documentation, Parts and Annotation Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Senior Technical Documentation, Parts and Annotation Specialists to contribute their deep domain expertise to a customer's innovative project. 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
• Transform engineering drawings and bills of materials (BOMs) into precise, dependency-correct assembly procedures suitable for technical manuals.
• Identify, verify, and document industrial replacement parts and components based on photos, nameplates, and manufacturer or distributor catalogs, ensuring accurate fitment and application details.
• Interpret production patterns, markers, and cutting-room plans for apparel or industrial fabrication, verifying layout efficiency and technical correctness.
• Conduct quality assurance reviews on annotated image batches, adjudicating label accuracy against established project ontologies and annotation guidelines.
• Produce clear, defensible rationales for decisions and recommendations, capturing expert thought processes for model training purposes.
• Review and refine real-world documents, photos, patterns, or annotation data, delivering outputs at the standard expected from a senior practitioner in your field.
• Collaborate remotely with project coordinators, submitting deliverables through digital platforms within agreed project timelines.
Preferred Qualifications
• Minimum 5 years of experience in one or more of the following domains: mechanical technical writing, industrial parts/application analysis, production pattern planning, or computer vision annotation quality assurance.
• Exceptional proficiency with interpreting engineering drawings, BOMs, and technical documentation, or demonstrated expertise with parts identification and catalog research.
• Strong analytical, visual, and spatial reasoning abilities, particularly in pattern interpretation or assembly process documentation.
• Proven track record of producing clear, structured, and accurate records, reports, or manuals to industry standards.
• Experience adjudicating or reviewing work within complex ontologies or quality control environments.
• Comfort working autonomously and communicating reasoning in written form for project documentation purposes.
• Familiarity with digital collaboration platforms and remote project participation is a plus.
Listing history
- First seen on our board
- (today)
- Posted by micro1
- (yesterday)
- Last checked
- Source
- micro1
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