ZipRecruiter

Log In

2

Remote Computer Vision Engineer Jobs in Jersey City, NJ

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

Bachelor's degree in Computer Engineering, Computer Science, Information Technology or related ... Our product: you believe in our vision, and are willing to give your best to build the future of ...

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure * You have proof of your engineering ability through GitHub projects or work experience What You Might Work ...

Aniesispharma

Remote Software Engineer

New York, NY · Remote

Remote Software Engineer Opportunity About the Role: We are seeking a talented and motivated Remote ... Dental insurance Vision insurance Financial Security: Retirement plans Work-Life Balance: Paid time ...

Accrete

Senior Platform Engineer (Remote)

New York, NY · Remote

$180K - $200K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or related experience. * 5+ years ... Health, dental, and vision coverage for you and your family * 401(k) Plan: Build your financial ...

Soda Data

Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics ...

previous pagenext page

Showing results 21-40

All JobsComputer Vision Engineer JobsRemote Computer Vision Engineer JobsRemote Computer Vision Engineer Jobs in Jersey City, NJ

Remote Computer Vision Engineer information

See Jersey City, NJ salary details

$50.6K

$126.8K

$143.5K

How much do remote computer vision engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote computer vision engineer in Jersey City, NJ is $126,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a remote computer vision engineer?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer vision engineer?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are popular job titles related to Remote Computer Vision Engineer jobs in Jersey City, NJ?

For Remote Computer Vision Engineer jobs in Jersey City, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Computer Vision Engineer jobs in Jersey City, NJ look for?

The top searched job categories for Remote Computer Vision Engineer jobs in Jersey City, NJ are:

What cities near Jersey City, NJ are hiring for Remote Computer Vision Engineer jobs?

Cities near Jersey City, NJ with the most Remote Computer Vision Engineer job openings:

Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in Jersey City, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $126,834 per year, or $61 per hour.

Software Engineering Evaluation Specialist

Mindrift

New York, NY • On-site, Remote

$35/hr

Part-time

Posted 7 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
About the Role
You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.
Responsibilities:
  • Invent a realistic developer scenario - a real bug, a broken ETL, a missing feature - not a toy problem.
  • Build a reproducible Docker environment with pinned dependencies.
  • Write a pytest that verifies outcomes, not specific commands - deterministic, non-flaky, and does not leak the fix.
  • Write an instruction.md that reads like a Jira ticket a developer would receive.
  • Write a reference solve.sh proving the task is solvable.
  • Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time.
  • Iterate based on feedback from expert QA reviewers.
  • Later: review other authors' tasks as a QA reviewer.

Not in scope
  • Data labeling, prompt engineering.
  • Production code to ship - you design problems and verification for AI agents.
  • Leetcode puzzles - scenarios must look like real developer work.
  • Not every candidate task ships - quality over quantity.

Requirements
  • 3+ years of production software development in one backend stack - Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth.
  • Python + pytest fluency - required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py.
  • Docker authoring - reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.
  • Linux & Bash - comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.
  • AI coding agent experience - Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it.
  • English - B2+ written.

Not a fit
  • Data Science, ML, or Computer Vision engineers without backend-engineering output.
  • Manual QA testers without automation or test authoring.
  • Frontend-only, low-code / no-code, IT Support, or Business Analysts.
  • Engineers who have never written pytest from scratch.
  • Junior, intern, or assistant as the most recent role.

Preferred qualifications
  • Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.
  • Modern Python tooling (uv, poetry, pyproject.toml).
  • Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov).
  • Fuzzing or property-based testing (Hypothesis).
  • Prior contribution to agent-evaluation benchmarks or related frameworks.

Process
Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.
Time commitment
  • Onboarding: ~10 hours per first task.
  • Steady state: ~5 hours per task, 2-4 parallel tasks per author.
  • Realistic weekly load: 8-20 hours. Higher volume available for top performers.
  • You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.

Compensation:
  • Paid contributions, rates up to $35/hour*.
  • Task-based compensation equivalent to hourly rate, depending on performance and volume.
  • Some projects include incentive payments.

*Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Apply
Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist - Terminal Bench), and include a GitHub profile link if available.

Apply