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Computer Vision Remote Jobs in Washington, PA (NOW HIRING)

Sales Manager Remote

Pittsburgh, PA · Remote

$80K - $120K/yr

Comfortable working remotely with a reliable computer, high-speed internet connection, and a ... Benefits package including health, dental, vision, and life insurance, plus an employee referral ...

Remote Sales Manager

Pittsburgh, PA · Remote

$80K - $120K/yr

Reliable computer, high-speed internet connection, and a quiet workspace for client calls. What We ... Benefits package including health, dental, vision, and life insurance; employee referral program.

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Computer Vision Remote information

See Washington, PA salary details

$11

$19

$29

How much do computer vision remote jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for computer vision remote in Washington, PA is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.68 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 job categories do people searching Computer Vision Remote jobs in Washington, PA look for?

The top searched job categories for Computer Vision Remote jobs in Washington, PA are:

What cities near Washington, PA are hiring for Computer Vision Remote jobs?

Cities near Washington, PA with the most Computer Vision Remote job openings:

Infographic showing various Computer Vision Remote job openings in Washington, PA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Software Engineering Manager - AI Data Engine

Pittsburgh, PA • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees

Full-time

Re-posted 26 days ago


Job description

Mission Summary:

We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new AI Data Engine team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional's Data Stack.
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models. 
    • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training.
  • Cross-functional Collaboration:
    • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in data platform engineering
    • 3+ years of experience in a technical lead or management role with 3-7 direct reports
    • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores. 
    • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions.
  • Technical Skills:
    • Strong programming skills in Python. C++ experience is a plus. 
    • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs.
    • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings. 
    • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company.

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.