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Computer Vision Remote Jobs in Los Angeles, CA (NOW HIRING)

Sedgwick

Remote Hotel Coordinator

Los Angeles, CA · Remote

$17/hr

Ability to work effectively in a remote team environment. WORK ENVIRONMENT When applicable and ... Computer keyboarding, travel as required Auditory/Visual: Hearing, vision and talking NOTE: Credit ...

Danaher

IT Project Manager - Remote

Brea, CA · On-site +1

$120K - $160K/yr

Bachelor's degree in computer science or related field or equivalent experience * Proven track ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

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Computer Vision Remote information

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$33

How much do computer vision remote jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for computer vision remote in Los Angeles, CA is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $25.14 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 the most commonly searched types of Computer Vision jobs in Los Angeles, CA? The most popular types of Computer Vision jobs in Los Angeles, CA are:
What are popular job titles related to Computer Vision Remote jobs in Los Angeles, CA? For Computer Vision Remote jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Remote jobs in Los Angeles, CA look for? The top searched job categories for Computer Vision Remote jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Computer Vision Remote jobs? Cities near Los Angeles, CA with the most Computer Vision Remote job openings:
Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Los Angeles, 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 $46,733 per year, or $22.5 per hour.

Rainmaker Fellow, Machine Learning

Rainmaker Technology Corporation

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 17 days ago

Job description

About Rainmaker

Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.

Rainmaker collects unusual atmospheric datasets because we build sensors, operate aircraft, fly into clouds, and deliberately intervene in atmospheric systems. Our long-term advantage depends on turning those observations into better estimates, forecasts, and operational decisions.

About the Fellowship

The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.

As a fellow, you will join Rainmaker's R&D team and work alongside our researchers on a scoped machine-learning project drawn from Rainmaker's current research priorities and defined in close collaboration with your research lead or mentor. Project matching will consider available data, mentor capacity, team needs, and your background. You will take responsibility for a concrete workstream while contributing to the broader team's research, reviews, and technical decisions.

You will work with real sensor and operational data, establish credible baselines, build and evaluate models, and leave behind a durable dataset, system, or research artifact that Rainmaker can continue using. Fellows are not expected to arrive with an independent research agenda or define a project in isolation.

Examples of the Work

Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our ML team may pursue include:

  • Developing a short-range supercooled liquid water opportunity forecast using public NWP and Rainmaker observations.
  • Predicting hail-core growth, motion, splitting, and decay from radar sequences.
  • Building a bounded multimodal atmospheric-state reconstruction pilot.
  • Improving microwave-sounder retrievals using Rainmaker observations.
  • Modeling another scientific or operational problem selected with Rainmaker's ML and atmospheric-science teams.
What You'll Do
  • Translate a scientific or operational question into a measurable ML problem.
  • Build or improve the training and validation dataset needed for the project.
  • Establish simple, reproducible baselines before introducing more complex models.
  • Train, evaluate, and debug models using held-out weather events, regions, or operating conditions.
  • Quantify calibration, uncertainty, generalization, failure modes, and sensitivity to missing or biased data.
  • Work closely with atmospheric scientists to define useful targets, ground truth, physical constraints, and operational success criteria.
  • Produce clear, reusable code and documentation.
  • Present your results to Rainmaker's scientists, engineers, operators, and technical leadership.
  • Deliver a final artifact such as a benchmark dataset, model, prototype product, evaluation report, or research paper.
What We're Looking For
  • Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
  • Strong Python programming ability and experience with a modern ML framework.
  • Evidence that you can independently build, test, and debug technical work.
  • Strong quantitative reasoning and an ability to design credible experiments.
  • Interest in noisy, sparse, multimodal, spatial, temporal, or physical data.
  • Ability to make progress on ambiguous research problems while incorporating mentor feedback.
  • Clear written and verbal communication.
  • Availability for full-time, on-site work in El Segundo for the agreed appointment.
Particularly Relevant Backgrounds
  • Machine learning, computer science, applied mathematics, statistics, physics, meteorology, remote sensing, robotics, autonomy, geospatial analysis, or scientific computing.
  • Forecasting, sequence modeling, computer vision, state estimation, sensor fusion, probabilistic modeling, data assimilation, or uncertainty quantification.
  • Weather knowledge is valuable but not required.
What Success Looks Like

By the end of the fellowship, you will have answered a clearly defined technical question and produced a rigorous, reusable result that advances the team's work. Depending on the project, that might be a benchmark dataset, evaluated model, prototype product, forecasting or retrieval improvement, or a well-supported analysis of performance and failure modes.

Success does not require a positive scientific result. A well-supported finding that the available data cannot answer the question-and a concrete recommendation for what Rainmaker should measure next-can be highly valuable.

Fellowship Details
  • Paid, full-time, and on-site in El Segundo.
  • Three-to-six-month appointment, with four months as the standard duration.
  • Rolling applications and flexible start dates based on project and mentor readiness.
  • Possible consideration for future full-time roles, without any promise or expectation of conversion.
Compensation and Benefits

$8,000 per month

Benefits:

  • Full health coverage (medical, dental, and vision insurance)
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ
$8,000 - $8,000 a month
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