Remote ML Engineer Flexible Contract Roles

Mercor Inc
Los Angeles, US
RemoteCareer-pivot friendly

Why this role

Pace
Varied
Collaboration
Low
Autonomy
High
Decision Impact
Individual
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • training and evaluating AI models
  • creating tasks and deliverables based on real-world scenarios
  • providing domain-specific feedback to advance frontier AI research
Typical background
professional experience in machine learning model development

Transferable backgrounds

  • Coming from data science
  • Coming from AI research

Skills & requirements

Required

Machine Learning Model DevelopmentPythonML Frameworks (pytorch / Tensorflow)Model DeploymentMlops

Preferred

Strong Communication SkillsAbility To Work Independently In A Remote Environment

Stack & domain

PythonMl FrameworksModel DeploymentMlopsCommunicationAI

About the role

Original posting from Mercor Inc

About Mercor’s talent network: Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests. Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.

About Mercor projects

Experts in our network contribute to:

Training and evaluating AI models in Machine Learning Engineering

Creating tasks and deliverables based on real-world scenarios

Providing domain‑specific feedback to advance frontier AI research

Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week.

What we're looking for

Professional experience in machine learning model development, Python & ML frameworks (PyTorch / TensorFlow), model deployment & MLOps

Strong communication skills

Ability to work independently in a remote environment

How it works

This is not a specific job posting. By applying, you're joining our Machine Learning Engineer talent network.

Apply once: Complete your profile by uploading your resume and confirming your work location.

Get verified: We review your credentials and approve qualified experts.

Stay connected: When projects need Machine Learning Engineering expertise, we match you to opportunities based on your expertise and project needs.

Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.

#J-18808-Ljbffr

Source: Mercor Inc careers

Similar roles