Growing+88% YoYMidSeniorFreelance / ConsultingNo codingFully remote

AI Training Data Specialist

Using deep domain knowledge to create, curate, and validate the training data that makes AI models accurate and trustworthy in specialist domains.

At a glance

UK salary

£50,000–£85,000

US salary

$70,000–$120,000

Growth

+88% YoY

Technical req.

No coding

Remote

Fully remote

Experience

Mid, Senior, Freelance / Consulting

What does a AI Training Data Specialist actually do?

Day to day, this role involves a mix of technical evaluation, stakeholder communication, and domain expertise. Here's what you'd typically be doing:

  • Creating high-quality domain-specific training data for AI models
  • Designing data collection and annotation guidelines
  • Evaluating and quality-controlling AI training datasets
  • Working with ML teams to understand data requirements
  • Applying domain expertise to validate AI outputs in specialist areas
  • Freelance annotation and expert review for AI companies

Why this role is being created right now

The quality of an AI model is determined by the quality of its training data. For AI to work reliably in medicine, law, finance, or engineering, it needs training data created by people who deeply understand those domains.

This role is a natural fit for experienced professionals who want to contribute to AI development while leveraging their domain expertise — often on a freelance or part-time basis.

AI training data market expected to reach $6.8B by 2027 (MarketsandMarkets)

Expert domain annotators earn 3–5× more than general annotators (Scale AI, 2026)

Who hires AI Training Data Specialists

Sectors

  • ·AI research
  • ·Healthcare AI
  • ·Legal AI
  • ·Financial AI
  • ·Education technology

Organisation types

  • ·Foundation model companies
  • ·Data annotation platforms (Scale AI, Surge HQ)
  • ·Domain-specific AI startups
  • ·Enterprise AI teams

Geography: Remote — global

Salary ranges

🇬🇧 United Kingdom

£50,000–£85,000

per year

🇺🇸 United States

$70,000–$120,000

per year

Sources: LinkedIn Salary, Indeed, Lightcast. Ranges reflect mid-to-senior experience levels.

Skills you need

Domain & soft skillsForegrounded

Deep expertise in at least one professional domainAnalytical precision and attention to detailAbility to articulate why an answer is correctStructured writing and documentation

Technical skills

Annotation platform familiarity (Scale AI, Label Studio)Basic data literacyUnderstanding of AI model requirements for training data

* This role is classified as “no coding required” — technical skills are learnable on the job.

Connect with others in this role

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Career paths into this role

Any domain expert (doctor, lawyer, engineer, financial professional)

1–3 months to first paid work
  1. 1.Register on expert annotation platforms (Scale AI Expert Network, Surge HQ)
  2. 2.Complete sample tasks to demonstrate domain expertise
  3. 3.Build a track record of high-quality annotation work
  4. 4.Apply directly to AI companies seeking domain expertise
  5. 5.Scale to full-time or senior data curation roles

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