Disputes Lawyer - AI Trainer

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Litigation-Lawyer, Dispute-Lawyer, German-Law, AI-Trainer, Legal-Consultant, Legal-AI-Trainer, AI-Legal-Trainer, Legal-AI-Training-Specialist, Legal-AI-Training, AI-Trainer-(Legal), Freelance-Legal-Document-AI-Trainer, AI-Legal-Specialist, Legal-AI-Specialist, AI-Legal-Counsel
Source
himalayas
First observed
2026-08-20 05:15 UTC
Last seen
2026-08-20 05:15 UTC
Source claims posted
2026-08-20 05:01 UTC
Consecutive misses
4 of 10

What the posting says

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Litigation Lawyer (Germany)

Type:Contract

Compensation:$140–$150/hour

Location:Remote

Commitment:~10 hours/week

Role Responsibilities

Run the same set of prompts across two AI (LLM) platforms.

Compare outputs from both platforms side by side.

Score each response against a standardized rubric we provide.

Submit concise written feedback for every evaluation.

Work independently and adhere to deadlines while maintaining confidentiality under NDA.

Qualifications

Must-Have

Primarily law-firm experience — at least 2 years (3+ preferred) in litigation, disputes, or contentious practice.

Qualified to practise in Germany (Rechtsanwalt/Rechtsanwältin) with strong command of German litigation and procedural law.

Native or fluent German, with precise written communication.

Able to work independently to a rubric and to deadlines.

Resources & Support

For details about the interview process and platform information, please check:

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

#hiringmercor

Originally posted on Himalayas

Quality

Completeness: 65%
Honesty: 100%

Based on 5 observation(s).

Timeline

  1. *
    #202198 2026-08-20 05:15 UTC
    Published
  2. o
    #204397 2026-08-20 07:16 UTC
    Not seen
    Miss 1 in a row
  3. o
    #205460 2026-08-20 07:34 UTC
    Not seen
    Miss 2 in a row
  4. o
    #207279 2026-08-20 09:21 UTC
    Not seen
    Miss 3 in a row
  5. o
    #208964 2026-08-20 11:22 UTC
    Not seen
    Miss 4 in a row