DataAnnotationFirst seen

Legal Expert

  • Kind of work: Law
  • Location: Remote, countries not stated
  • Experience: Expert
  • Hours: Flexible
  • Languages: English

Up to $125/hr

Remote law contract with DataAnnotation, up to $125/hr. First seen Nov 6.

Is this job worth applying to?

Pay
About typicalTops out at $125/hr. The typical top rate across 99 priced law listings is $120/hr.
Getting in
Hard to get in1–2 hours (one-time starter assessment). Fluent English.
Steady work
Comes and goesWorkload can drop to zero for weeks.
Payout record
Pays on timeSchedule: on request; arrives within a few days. Paid via PayPal.
Freshness
No post dateDataAnnotation doesn't publish post dates. First seen Nov 6, 2026; still listed Nov 6, 2026.
Where you live
Not statedThe listing names no country.

The job description

Overview

Models produce fluent legal analysis that is often subtly wrong: invented citations, misapplied precedent, and jurisdictional confusion. A plausible wrong answer in law has real consequences.

As a legal expert you'll grade AI legal reasoning against the standard of a careful practitioner and write the analysis the model should have produced.

What you’ll actually do

  • Draft prompts that test how models handle contracts, statutes, procedure, and case analysis.
  • Review AI output for invented citations, misapplied precedent, and jurisdictional errors, and rate the reasoning.
  • Write the correct analysis when the model falls short, with the clarity of a well-drafted memo.

Roles this fits

Common backgrounds: Corporate Counsel, Associate General Counsel.

What we look for

  • JD or equivalent, with practice experience or strong academic background.
  • Sharp legal research and writing skills across at least one practice area.
  • Clear written English: your explanations are the training signal.

How it works

Apply

Qualify

Work & get paid

Compensation

Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

Apply now

How do you apply to DataAnnotation?

  1. Apply on DataAnnotation

    The Apply button opens this post on DataAnnotation's own site. You apply with them, not with Rubric. Budget 1–2 hours (one-time starter assessment).

  2. Get through screening

    What DataAnnotation asks for after you apply:

    • Take the starter assessment; you only get one attempt
    • Wait for an email with the result (many never hear back)
    • Verify your identity with Persona
    • Pick projects from your dashboard
  3. Start work and get paid

    Pay schedule: on request; arrives within a few days. Paid via PayPal. You're paid for the work they hand out, not a fixed salary.

DataAnnotation also needs

  • Fluent English
  • PayPal account
  • Government ID for verification

Red flags

  • Red flagAccounts deactivated without explanation, sometimes with unpaid balances reported
  • Red flagNo reply after the unpaid starter assessment
  • Red flagMay 2025 class action over contractor status and unpaid assessments (allegations)

What is DataAnnotation like to work for?

Surge AI's worker-facing platform: you pass one starter assessment, then pick paid writing, coding and rating tasks from a dashboard whenever you like.

Advertised pay$20–150/hr
Getting inHard to get in
Application takes1–2 hours (one-time starter assessment)
How you get paidOn request; arrives within a few days, via PayPal
Payout recordPays on time
CountriesHistorically limited to the US, UK, Canada, Australia, New Zealand and Ireland, with some workers reporting access from other countries. India has not been on the published list.

Official starting rates are $25–50/hr general, $40–150/hr coding and $40–125/hr STEM/professional; workers report general tasks often settle around $20–30/hr.

Up to $125/hrAdvertised payApply on DataAnnotation