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Remote Ai Tester Jobs in San Ramon, CA (NOW HIRING)

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC ... Software development lifecycle includes design, development, testing, packaging, and deployment ...

Aprio

Senior AI Product Associate, IT

San Francisco, CA · On-site +1

$104K - $160K/yr

Familiarity with generative-AI tools and platforms, including hands-on prompting and testing of AI ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Vercel

Software Engineer, AI Gateway

San Francisco, CA · On-site +1

$196K - $294K/yr

You will collaborate with a remote and distributed team of engineers to build reliable, low-latency ... Write clean, efficient, and well-documented code, conducting thorough testing to ensure low-latency ...

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All JobsAi Tester JobsRemote Ai Tester JobsRemote Ai Tester Jobs in San Ramon, CA

Remote Ai Tester information

See San Ramon, CA salary details

$12

$53

$77

How much do remote ai tester jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote ai tester in San Ramon, CA is $53.13, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $62.60 per hour, depending on experience, location, and employer.

How do I become a remote AI tester?

To become a remote AI tester, you should have a strong understanding of AI and machine learning concepts, along with skills in programming, data analysis, and testing tools. Gaining experience through online courses, certifications, or internships can improve your prospects, and familiarity with platforms like Python, TensorFlow, or similar is often beneficial. Strong communication skills and the ability to work independently are also important for remote roles.

What are the key skills and qualifications needed to thrive as a remote AI tester, and why are they important?

To thrive as a Remote AI Tester, you need a strong understanding of software testing principles, programming basics (such as Python), and familiarity with AI/ML concepts, often supported by a degree in computer science or related field. Experience with testing frameworks, version control systems like Git, and bug tracking tools such as Jira is typically required. Attention to detail, analytical thinking, and effective remote communication are essential soft skills for this role. These skills ensure accurate evaluation of AI systems, reliable test coverage, and seamless collaboration with distributed teams.

What is the difference between Remote Ai Tester vs Remote Data Annotator?

AspectRemote Ai TesterRemote Data Annotator
Required CredentialsBasic understanding of AI/ML concepts, sometimes certifications in testing or QAAttention to detail, training in annotation tools, no formal certifications required
Work EnvironmentRemote, often collaborative with AI development teamsRemote, focused on data labeling and annotation tasks
Industry UsageAI development, machine learning projectsData preparation for AI models, machine learning datasets
Common Search/ComparisonYesYes

Remote Ai Testers and Remote Data Annotators both work remotely in AI-related fields. While Ai Testers focus on evaluating AI models' performance and accuracy, Data Annotators prepare and label data for training AI systems. Both roles require attention to detail and familiarity with AI workflows, but Ai Testers often need a basic understanding of AI concepts, whereas Data Annotators primarily focus on data labeling tasks.

What is a remote AI tester?

Remote AI Testers are professionals who evaluate and validate artificial intelligence systems, algorithms, or applications from a remote location. Their primary role is to ensure that AI models work as intended by testing for accuracy, reliability, and potential biases. They may create test cases, report bugs, and provide feedback to development teams to help improve AI products. This job often requires technical knowledge of AI, attention to detail, and strong communication skills. Working remotely allows AI testers to collaborate with teams globally and test software in various real-world environments.

What are some common challenges faced by remote AI testers, and how can they be addressed?

Remote AI Testers often encounter challenges such as limited direct communication with development teams and difficulties in understanding complex AI models without in-person support. To address these, it’s important to proactively schedule regular virtual meetings, document testing procedures thoroughly, and leverage collaboration tools to share findings efficiently. Staying updated with the latest testing frameworks and maintaining a strong self-management routine can also help ensure productivity and quality while working remotely.
What are popular job titles related to Remote Ai Tester jobs in San Ramon, CA? For Remote Ai Tester jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Remote Ai Tester jobs? Cities near San Ramon, CA with the most Remote Ai Tester job openings:
Remote Ai Tester jobs near you
Infographic showing various Remote Ai Tester job openings in San Ramon, CA as of July 2026, with employment types broken down into 78% Full Time, 9% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,511 per year, or $53.1 per hour.

Applied Mathematics Specialist - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Re-posted 7 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: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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.