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AI Trainer - Automotive Expertise Required

Role overview

Qualifications

  • Auto insurance claims or appraisal
  • Auto body or mechanic work
  • Car dealership or parts experience
  • Any field where identifying vehicle damage and parts is second nature

Responsibilities

  • Reviewing photos of damaged vehicles
  • Marking affected areas such as scratches, dents, cracks, and missing parts
  • Identifying which part of the car is involved (door, bumper, hood, fender, etc.)
  • Helping insurance customers receive faster, fairer damage assessments

Key facts

  • Remote from: Europe
  • Full time
  • English

Other skills

  • Detail Oriented

About the company

HumanSignal logo

HumanSignal

Artificial Intelligence & Machine Learning Services

HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Get Paid to Review Car Damage Photos — Flexible, Remote, Freelance Work

Looking for a flexible way to earn extra money on the side? We're hiring freelance contractors to work on a photo review project for a leading European insurance company — and you can do it from anywhere in the EU, on your own schedule.

What you'll be doing: Reviewing photos of damaged vehicles and marking the affected areas — things like scratches, dents, cracks, and missing parts — and identifying which part of the car is involved (door, bumper, hood, fender, etc.). Your work directly helps insurance customers receive faster, fairer damage assessments. Full training is provided through clear written guidelines with visual examples.

This is a great fit if you have a background in:
  • Auto insurance claims or appraisal
  • Auto body or mechanic work
  • Car dealership or parts experience
  • Any field where identifying vehicle damage and parts is second nature

The details:
  • Must be based in the EU
  • 100% remote, work at your own pace
  • Pays roughly €11/hour
  • Project volume is expected to be substantial, with strong potential for increased workload and extended project duration as things scale
  • Freelance/contract work — perfect for picking up extra cash on the side

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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