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Computer Vision Remote Jobs in Berkeley, CA (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Parallel Domain

Product Manager

San Francisco, CA · Remote

They are fully remote and growing fast. How long has the company been operating? 2017 Total company ... Develop a deep understanding of customer workflows across autonomy, robotics, computer vision, and ...

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Computer Vision Remote information

See Berkeley, CA salary details

$15

$25

$38

How much do computer vision remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for computer vision remote in Berkeley, CA is $25.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $28.56 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are popular job titles related to Computer Vision Remote jobs in Berkeley, CA?

For Computer Vision Remote jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Berkeley, CA look for?

The top searched job categories for Computer Vision Remote jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Computer Vision Remote jobs?

Cities near Berkeley, CA with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $53,106 per year, or $25.5 per hour.

ML Scientist - Adversarial Robustness

Mercor

San Francisco, CA • On-site, Remote

$100 - $120/hr

Full-time

Posted 10 days ago

Job description

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: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote

Role Responsibilities

  • Train image classifiers and generative image models from scratch. Fine-tune open-weight language models.
  • Optimize models with limited data, compute, and model-size budgets.
  • Enhance model robustness to adversarial inputs and conversations.
  • Compress models to meet size and latency constraints without losing accuracy.
  • Diagnose and resolve training issues effectively.

Qualifications

Must-Have

  • 3+ years of machine learning research experience (PhD research counts).
  • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
  • Degree from a top-100 university, experience at a FAANG or comparable AI company, or equivalent research track record through publications or impactful open-source contributions.

Preferred

  • Experience in scaling laws and training-efficiency research.
  • Knowledge of curriculum learning and data ordering.
  • Skills in model evaluation, uncertainty estimation, and model calibration.
  • Expertise in data augmentation and synthetic data for robustness.

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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

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