Description review
AI Research Scientist - Fully Remote | Up to $200/hr
mercor · Germany · back to the listing
HR standards
82/100
solid
Title ↔ description
55/100
needs work
Reads as
Unclear
no confident match
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 18 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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: Machine Learning Expert
Type:Contract
Compensation:$150–$200/hour
Location:Remote
Role Responsibilities
• Develop challenging machine learning engineering tasks for a long-horizon AI research project.
• Design tasks that challenge frontier models, ensuring they are solved in no more than 2 out of 8 attempts.
• Focus on inference, evaluation, and systems work rather than heavy model training. Tasks run on both GPU and CPU.
• Clearly explain why each problem is difficult for a frontier model.
• Contribute ideas without needing to build or review the tasks yourself.
Qualifications
Must-Have
• Current or recent role as an ML research engineer, research scientist, or applied scientist.
• Experience with training, fine-tuning, or optimizing models in PyTorch or JAX.
• Deep knowledge in at least one area: LLMs, GPU inference and performance, Reinforcement learning (RL), or Scientific ML.
• Ability to explain why a problem is hard for a frontier model.
Preferred
• Experience writing benchmark or evaluation questions.
• PhD in ML, CS, or physics, or an MSc with strong research output.
• Publications.
• Prior Mercor contracts with strong performance.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
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.
Originally posted on Himalayas
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: Machine Learning Expert
Type:Contract
Compensation:$150–$200/hour
Location:Remote
Role Responsibilities
• Develop challenging machine learning engineering tasks for a long-horizon AI research project.
• Design tasks that challenge frontier models, ensuring they are solved in no more than 2 out of 8 attempts.
• Focus on inference, evaluation, and systems work rather than heavy model training. Tasks run on both GPU and CPU.
• Clearly explain why each problem is difficult for a frontier model.
• Contribute ideas without needing to build or review the tasks yourself.
Qualifications
Must-Have
• Current or recent role as an ML research engineer, research scientist, or applied scientist.
• Experience with training, fine-tuning, or optimizing models in PyTorch or JAX.
• Deep knowledge in at least one area: LLMs, GPU inference and performance, Reinforcement learning (RL), or Scientific ML.
• Ability to explain why a problem is hard for a frontier model.
Preferred
• Experience writing benchmark or evaluation questions.
• PhD in ML, CS, or physics, or an MSc with strong research output.
• Publications.
• Prior Mercor contracts with strong performance.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
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.
Originally posted on Himalayas