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Remote Ai Tester Jobs (NOW HIRING)

Near AI

Senior Software Engineer FullStack (AI Apps)

OR · On-site +1

$122K - $161K/yr

About Near AI Near AI is building the world's best user-owned open-source AI assistant - and the ... with appropriate testing and documentation * Collaborate effectively in our fully remote but ...

Grafana Labs

Staff AI Engineer | US | Remote

We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by ... testing, deployment, and ongoing operation * Build modular, composable agentic systems using ...

Grafana Labs

Senior AI Engineer | US | Remote

$107K - $146K/yr

We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by ... testing, deployment, and ongoing operation * Build modular, composable agentic systems using ...

Grafana Labs

Staff AI Engineer | US | Remote

We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by ... testing, deployment, and ongoing operation * Build modular, composable agentic systems using ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission ... Solid penetration testing fundamentals and understanding of common attack chains. * Familiarity ...

talentpluto

Founding Account Executive

Fully remote Industry: AI / developer tooling (conversational-AI testing & evaluation) Compensation: Competitive six-figure base with uncapped OTE About the Company Our partner is a fast-growing ...

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... testing AI and LLM's using tools to evaluate accuracy, bias, and reliability of AI tools and ...

Centific

Japanese Localization QA Tester

$25/hr

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data ... Remote Part-time Requirements * Native-level fluency in Japanese language (grammar, vocabulary ...

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Remote Ai Tester information

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How much do remote ai tester jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for remote ai tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

How much do AI testers get paid?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with specialized skills can earn higher salaries, often working remotely with flexible schedules.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and testing AI models. Familiarity with testing tools and frameworks, as well as attention to detail, are essential for evaluating AI performance and identifying issues.

How can I make 2000 a week working from home?

Remote AI testers can earn around $2000 weekly by working on multiple projects, testing AI models, and providing feedback. Building skills in machine learning, data annotation, and using testing tools can increase earning potential. Consistent work, specialized knowledge, and efficient time management are key to reaching this income level.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills, experience, and sometimes leadership responsibilities. These roles may involve developing complex algorithms, managing AI projects, or overseeing AI teams, and they usually require expertise in programming, data analysis, and AI tools.

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 are Remote AI Testers?

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.
More about Remote Ai Tester jobs
What cities are hiring for Remote Ai Tester jobs? Cities with the most Remote Ai Tester job openings:
What are the most commonly searched types of Ai Tester jobs? The most popular types of Ai Tester jobs are:
What states have the most Remote Ai Tester jobs? States with the most job openings for Remote Ai Tester jobs include:
What job categories do people searching Remote Ai Tester jobs look for? The top searched job categories for Remote Ai Tester jobs are:
Remote Ai Tester jobs near you
Infographic showing various Remote Ai Tester job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

Senior Software Engineer FullStack (AI Apps)

Near AI

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Full-time

Posted 17 days ago

Job description

About Near AI
Near AI is building the world's best user-owned open-source AI assistant - and the models, agent network, and privacy-preserving infrastructure powering it. Our mission centers on democratizing access to AI technology that prioritizes human wellbeing above corporate interests. Led by a pioneering AI researcher, we're a small remote-first team with a wide mission covering AI research, infrastructure, and product development.
Near AI's founders have been involved in groundbreaking AI research, and also previously created the NEAR Protocol, a leading L1 blockchain. We're an AI company, not a crypto company, though we think blockchains can help serve our mission of building user-owned AI for the world.
Role Summary
As one of the early Senior Software Engineers at Near AI you'll be a key member of the team from day one. We have lots to do and we prefer to give our engineers great latitude and independence to achieve their goals. In return, we expect you to work hard and to work smart, leveraging the latest AI tools to build software with higher quality and more rapidly than any engineer could have just a few months ago.
As a lean startup, we don't yet have formal levels or differentiated titles for our engineering roles, but we do value your experience and expertise and offer commensurate compensation and responsibilities.
We value engineers who balance technical excellence with pragmatic delivery, to build rock-solid technical foundations and leverage them to ship and iterate rapidly. The ideal candidate brings a user-oriented mindset and can make thoughtful independent decisions on our users' behalf.
Together we'll figure out your best fit within Near AI, whether that's building our new consumer application, our platform for agent developers and model builders, the underlying hosted infrastructure, or our AI research efforts.
What You Will Do
  • Design and implement core features across our stack using Python, TypeScript, and/or Rust
  • Make thoughtful decisions about user and developer experience details without constant PM or design input
  • Determine appropriate engineering investments based on business context
  • Develop scalable, reliable code with appropriate testing and documentation
  • Collaborate effectively in our fully remote but synchronous environment
What You Bring
  • Strong engineering background with experience building and scaling production software
  • Product-oriented mindset: you instinctively consider user impact in technical decisions
  • Pragmatic approach to engineering: you know when to build for the long term vs. when to ship and iterate
  • Familiarity or expertise in our tech stack (Python, TypeScript, a little Rust). If your expertise is in Python, you must also be an advocate for strong typing and robust technical architecture.
  • Experience with AI systems and infrastructure is strongly beneficial for most positions but not strictly required
  • Self-directed work style with minimal supervision but maximal collaboration
Why Join Us?
  • Impact: Work on a genuinely important mission with potential for significant social impact
  • Growth: Join early with significant advancement and leadership potential, learn from respected industry leaders in AI research, attend and speak at industry events
  • Culture: Join a collaborative and passionate team, help shape company culture and technical direction from the ground up

Locations: San Francisco or remote

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