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Remote Motion Capture Jobs (NOW HIRING)

Machine Learning & Operations Engineer

Miami, FL · Remote

$66.50K - $89.90K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$71.10K - $96.20K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Machine Learning & Operations Engineer

Durham, NC · Remote

$71.10K - $96.20K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66.90K - $90.50K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66.80K - $90.40K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Machine Learning & Operations Engineer

Durham, NC · Remote

$67.20K - $90.80K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Machine Learning & Operations Engineer

Miami, FL · Remote

$71.10K - $96.20K/yr

Remote-first flexibility * Opportunity to shape the next-generation of motion capture technology Benefits All benefits start on first day of employment! * 75% employer-paid medical for employee.

Edit Motion Capture data to blend detailed character movement/facial with keyframe skills. * Work ... Remote candidates may be considered; however, preference will be given to those who can work in Los ...

Cresta is hiring a Motion Graphics & Video Editor to help scale our product and brand storytelling ... Support basic video editing needs and occasional remote capture, interviews, or long-form content ...

... remote environment using standard office equipment such as computers, phones, and video ... Repetitive Motion; Use Hands / Fingers to Handle or Feel; Climb (stairs, ladders) or Balance ...

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Remote Motion Capture information

See salary details

$30.5K

$91.5K

$175.5K

How much do remote motion capture jobs pay per year?

As of May 31, 2026, the average yearly pay for remote motion capture in the United States is $91,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $107,500.00 per year, depending on experience, location, and employer.
More about Remote Motion Capture jobs
What cities are hiring for Remote Motion Capture jobs? Cities with the most Remote Motion Capture job openings:
What are the most commonly searched types of Motion Capture jobs? The most popular types of Motion Capture jobs are:
What states have the most Remote Motion Capture jobs? States with the most job openings for Remote Motion Capture jobs include:
What job categories do people searching Remote Motion Capture jobs look for? The top searched job categories for Remote Motion Capture jobs are:
Infographic showing various Remote Motion Capture job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,454 per year, or $44 per hour.
Machine Learning & Operations Engineer

Machine Learning & Operations Engineer

OptiTrack

Miami, FL • Remote

$66.50K - $89.90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.

About the Role

OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.

This is a fully remote position, working cross-functionally with research and engineering teams.

What You'll Do

  • Design and maintain automated ML training pipelines.
  • Build infrastructure for large-scale distributed experimentation.
  • Develop CI/CD workflows tailored for machine learning systems.
  • Orchestrate data ingestion, preprocessing, validation, and model versioning.
  • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
  • Optimize GPU/compute utilization across cloud and on-prem environments.
  • Deploy, monitor, and maintain production ML models
  • Establish and enforce MLOps best practices including model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate closely with ML researchers make new algorithms product ready.
  • More typical DevOps responsibilities for software development as required.

Requirements

Required Qualifications

  • 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
  • Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Hands-on experience with containerization (Docker) and orchestration
  • Experience managing GPU workloads and distributed training systems
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of automation, infrastructure reliability, and data pipelines
  • Ability to work with both European and US developers.

Preferred Qualifications

  • Experience with motion capture or computer vision systems
  • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Background in distributed systems or high-performance computing
  • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)
  • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
  • Experience with model optimization, inference acceleration, or edge deployment
  • Experience building tracking algorithms for device localization using techniques like SLAM
  • Strong problem-solving skills and attention to reproducibility
  • Comfortable working in a remote, collaborative environment, with international team members
  • Clear communicator who can bridge research and production engineering
  • Experience with image rendering pipelines in CryEngine.
  • Passion for building scalable AI infrastructure

Why Join OptiTrack?

  • Work on cutting-edge motion tracking systems
  • Contribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual production
  • Remote-first flexibility
  • Opportunity to shape the next-generation of motion capture technology

Benefits

All benefits start on first day of employment!

  • 75% employer-paid medical for employee. Family coverage also included. 
  • 100% employer paid dental, and vision for employee and dependents
  • 100% employer paid long-term, short-term disability, and life insurance policy
  • 401k Match, if you're contributing 5% we match 4%. 100% vested immediately.
  • 10 paid holidays
  • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)

EEOC Statement:

OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training.  We are committed to remaining a drug free workplace