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Remote Ai Robotics Jobs (NOW HIRING)

Turing

Remote AI Quality Analyst - English

New York, NY · Remote

$25 - $30/hr

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will ... response without robotic "overnarrating". * Rigorously evaluating and stack-ranking two model ...

Turing

Remote AI Quality Analyst - English

Seattle, WA · Remote

$25 - $30/hr

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will ... response without robotic "overnarrating". * Rigorously evaluating and stack-ranking two model ...

FieldAI

Robotics Autonomy Engineer - Planning

Irvine, CA · On-site +1

$100K - $200K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in ...

FieldAI

Robotics Autonomy Engineer - Planning

Irvine, CA · On-site +1

$100K - $200K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in ...

Riderflex

Robotics Technician

Medford, OR · On-site +1

$70/hr

Job Title: Robotics Technician (US Remote, Part-Time, Contractor) Location: Medford, OR (and ... At Robo Reliance, we're at the forefront of the AI revolution, providing top-notch repair and ...

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

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How much do remote ai robotics jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is a remote AI robotics?

A Remote AI Robotics job involves working with artificial intelligence and robotics technologies from a remote location, rather than on-site. Professionals in this field design, develop, program, and manage robotic systems that use AI to perform tasks autonomously or semi-autonomously. These roles often require expertise in machine learning, computer vision, robotics engineering, and software development. Remote positions allow for collaboration with teams and clients across the globe, leveraging digital tools for communication and project management.

What are the key skills and qualifications needed to thrive as a remote AI robotics engineer?

To thrive as a Remote AI Robotics Engineer, you need strong skills in robotics engineering, artificial intelligence, programming (such as Python or C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics simulation tools (like ROS, Gazebo), machine learning frameworks (such as TensorFlow or PyTorch), and cloud-based collaboration platforms is essential. Excellent problem-solving abilities, effective communication, and self-motivation are important soft skills, especially when working remotely. These skills and qualities enable efficient development, troubleshooting, and innovation in building intelligent robotic systems from distributed locations.

What are some common challenges faced by professionals working in remote AI robotics roles, and how can they be addressed?

Professionals in remote AI robotics roles often face challenges such as effective communication with distributed teams, managing hardware remotely, and ensuring reliable data transmission between systems. Overcoming these challenges typically involves adopting robust collaboration tools, implementing clear documentation practices, and using remote monitoring software to manage and troubleshoot robotic systems. Regular virtual meetings and clear protocols also help maintain alignment and productivity, while ongoing training ensures team members stay updated on the latest technologies and best practices in both AI and robotics.

What is the difference between Remote Ai Robotics vs Remote Machine Learning Engineer?

AspectRemote Ai RoboticsRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics platformsBachelor's or higher in Computer Science, AI, or related; strong programming skills in Python
Work EnvironmentHands-on with robotics hardware, simulation, and software developmentFocus on developing algorithms, models, and data analysis in software environments
Industry UsageRobotics companies, automation firms, research labsTech companies, startups, research institutions
Common Search/ComparisonRemote Ai Robotics vs Remote Machine Learning Engineer

Remote Ai Robotics involves working with physical robots and hardware integration, while Remote Machine Learning Engineers focus on developing algorithms and models in software. Both roles require strong programming skills and a background in AI, but they differ in their work environment and industry applications.

More about Remote Ai Robotics jobs

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Cities with the most Remote Ai Robotics job openings:

What are the most commonly searched types of Ai Robotics jobs?

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What states have the most Remote Ai Robotics jobs?

States with the most job openings for Remote Ai Robotics jobs include:

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Remote Ai Robotics jobs near you
Infographic showing various Remote Ai Robotics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Remote AI Quality Analyst - English

New York, NY • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$25 - $30/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:
As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.

Key Qualifications

  • English Proficiency: Ability to read and write in English with a high degree of comp, as English is the focus language for this project.
  • Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
  • Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team.
  • Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
  • Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
  • Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
  • Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
  • Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
  • Feedback: Ability to provide constructive feedback and detailed annotations.
  • Communication: Excellent communication and collaboration skills.
  • Independence: Self-motivated and able to work independently in a remote setting.
  • Technical Setup: Desktop/Laptop set up with a good internet connection.

Description:
In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
  • Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
  • Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
  • Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
  • Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating".
  • Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
  • Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
  • Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
  • Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience
  • BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
  • Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Offer Details:
  • Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
  • Engagement type: Contractor
  • Engagement Length: 3 months

Evaluation Process -
  • Shortlisted candidates will be sent a Job Interest Form.
  • After the profile review, an assessment will be shared, which must be completed within 24 hours.
  • Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.