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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

  1. You leave AI Trainer HQ and go to micro1’s own site.
  2. Pick a role, apply and answer the screening questions attached to it
  3. Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
  4. Complete a technical assessment if the role has one, then a hiring-manager review
  5. 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
How we compare pay

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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