ZipRecruiter

Log In

2

Computer Vision Remote Jobs (NOW HIRING)

Clarium

Senior Software Engineer, Computer Vision

$170K - $210K/yr

The Opportunity Clarium builds computer vision pipelines that extract structured data from clinical ... Fully remote, with a NYC co-working space available; distributed team across multiple time zones ...

next page

Showing results 1-20

All JobsComputer Vision Remote Jobs

Computer Vision Remote information

See salary details

$12

$20

$31

How much do computer vision remote jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for computer vision remote in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What is a Computer Vision Remote job?

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 the Computer Vision Remote position, and why are they important?

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.

More about Computer Vision Remote jobs
What cities are hiring for Computer Vision Remote jobs? Cities with the most Computer Vision Remote job openings:
What are the most commonly searched types of Computer Vision jobs? The most popular types of Computer Vision jobs are:
What states have the most Computer Vision Remote jobs? States with the most job openings for Computer Vision Remote jobs include:
What job categories do people searching Computer Vision Remote jobs look for? The top searched job categories for Computer Vision Remote jobs are:
Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $43,372 per year, or $20.9 per hour.

Senior Software Engineer, Computer Vision

Clarium

Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Why Clarium
The healthcare industry overspends on its supply chain by over $25B each year - the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, and Kaiser Permanente.
Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.
The Opportunity
Clarium builds computer vision pipelines that extract structured data from clinical images under real-world conditions. This role owns the end-to-end pipeline: object detection, identification, reconciliation, and data extraction from images captured under variable lighting, camera angles, and workflow conditions with zero tolerance for errors.
You'll design and build production-ready CV pipelines that combine state-of-the-art object detection models, multimodal LLM/LVM APIs, and barcode/label decoding to produce structured, auditable inventory data that clinical and supply chain workflows depend on. This has direct implications for patient safety, billing accuracy, and supply chain optimization.
In This Role You Will
  • Design, build, implement and optimize multi-stage CV pipelines spanning segmentation, object detection, multimodal LLM/LVM extraction, machine-readable code decoding, and multi-source reconciliation
  • Train or fine-tune detection models on custom medical supply datasets
  • Build and own dataset strategy - leverage augmentation and synthetic data generation to improve the training and testing datasets when data doesn't exist.
  • Monitor and improve pipeline accuracy - instrument field-level metrics, diagnose failure modes, and systematically improve precision/recall through model iteration and preprocessing optimization
  • Design persistence schemas and audit data models that make every extraction independently reviewable
  • Maintain and extend the async Python backend services that surface pipeline results to downstream clinical workflows
What You'll Bring
Required:
  • 5+ years experience in computer vision and object detection
  • Hands-on experience training and fine-tuning detection models
  • Experience building OCR pipelines for label/packaging text extraction
  • Strong Python skills with experience in OpenCV, image preprocessing, and augmentation techniques
  • Production experience with multimodal LLM APIs for structured data extraction and validation
  • Backend engineering: FastAPI, Pydantic v2, PostgreSQL, async Python

Nice to Have:
  • OCR pipelines for label/packaging text extraction
  • Experience with barcode/QR/UDI decoding and preprocessing strategies that improve decode rates
  • MLOps experience: Docker, CI/CD, model versioning, A/B testing
  • Workflow orchestration tools (Temporal, Prefect, Airflow)
  • Healthcare or supply chain domain experience
  • Familiarity with medical device identification standards (UDI, GS1)
Skills & Tools You'll Use:
Need to Know: Python, PyTorch FastAPI • Pydantic v2 • PostgreSQL • Multimodal LLM APIs • Image preprocessing • Barcode / QR decoding, OCR pipelines
Nice to Know: Zero-shot object detection • Temporal • Prefect • Airflow
What You Get at Clarium
Target Base Salary Range: $170K - $210K
The base salary Clarium offers may vary depending upon the ultimate scope and responsibilities of the position and on the candidate's job-related knowledge, skills, and experience. The total package will include equity, in addition to a full range of medical and/or other benefits, depending on the position offered. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
  • Incentive Stock Options proportionate to your salary
  • Fully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person time
  • Unlimited PTO
  • Top-tier health, vision, and dental benefits
  • 401K
  • The opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the product

Equal Opportunity Statement
Clarium is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.

Apply