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Ai Data Annotation Remote Jobs in Rohnert Park, CA

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Secure and allocate funding for specialized datasets and data annotation services. * Evaluate and ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

DataAnnotation

M&A Associate - AI Trainer

Santa Rosa, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Ai Data Annotation Remote information

What is an AI Data Annotation Remote job?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the Ai Data Annotation Remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What job categories do people searching Ai Data Annotation Remote jobs in Rohnert Park, CA look for? The top searched job categories for Ai Data Annotation Remote jobs in Rohnert Park, CA are:
What cities near Rohnert Park, CA are hiring for Ai Data Annotation Remote jobs? Cities near Rohnert Park, CA with the most Ai Data Annotation Remote job openings:
Ai Data Annotation Remote jobs near you
Infographic showing various Ai Data Annotation Remote job openings in Rohnert Park, CA as of July 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
Senior Director, AI

Senior Director, AI

Agility Robotics

Bodega Bay, CA • On-site, Remote

$257K - $402K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

Overview

The Senior Director of AI will be a pivotal leader within our cutting-edge humanoid robotics company, driving the strategic direction and execution of all artificial intelligence and machine learning initiatives. This role requires a knowledgeable technologist and a skilled manager capable of championing and leading our existing high-performing team to develop the AI foundation for the next generation of humanoid robots. The successful candidate will be instrumental in defining the AI architecture, ensuring ethical implementation, and delivering robust, real-time AI capabilities that enable our robots to interact intelligently and safely with the world.

Core Responsibilities and DeliverablesStrategic Leadership and Vision
  • Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals.
  • Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding).
  • Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success.
  • Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines.
  • Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures.
Technical Execution and Development
  • Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise.
  • Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration.
  • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
  • Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment.
  • Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware.
  • Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.
Team Building and Hiring
  • Champion the existing team's talent and represent their needs to senior leadership.
  • Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers).
  • Lead recruitment, mentorship, and career development for all members of the AI team.
  • Manage the budget allocated for team salaries, equipment, and necessary infrastructure.
Resourcing and Budgeting
  • Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation.
  • Secure and allocate funding for specialized datasets and data annotation services.
  • Evaluate and procure necessary software licenses and tools for AI development and simulation.
  • Regularly report on expenditure and resource utilization to senior leadership.
Required Qualifications
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Minimum of 8 years of experience in AI/ML, with at least 5 years in a senior leadership or directorial role.
  • Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
  • Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
  • Proven track record of managing significant technical budgets and scaling high-performance engineering and research teams.
  • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$257,000—$402,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

Apply Now: https://grnh.se/b444bbd04us