ZipRecruiter

Log In

1

Weekend Ai Data Annotation Jobs in California (NOW HIRING)

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Required : • 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles. • Proven experience defining data quality standards, evaluation frameworks, annotation ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Required : • 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles. • Proven experience defining data quality standards, evaluation frameworks, annotation ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Abaka AI

Project Manager

Palo Alto, CA · On-site

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Project Manager

Mountain View, CA · On-site

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

Experience in AI data annotation, model evaluation, and fine-tuning platforms * Strong communication and storytelling skills with executive stakeholders Location SF Bay Area (Hybrid) Compensation ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... Partner with AI researchers to organize evaluation resources, execute testing plans, and deliver ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... Partner with AI researchers to organize evaluation resources, execute testing plans, and deliver ...

DYNA Robotics Inc

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

The Role We are hiring an AI Data Strategist to define the data requirements that drive model ... Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.

Abaka AI

Research Program Associate

Mountain View, CA · On-site

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation * Evaluating the performance, limitations, and reliability of AI-enabled ...

previous page

Showing results 41-60

All JobsAi Data Annotation JobsWeekend Ai Data Annotation JobsWeekend Ai Data Annotation Jobs in California

Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

How much do you get paid for AI data annotation?

The pay for AI data annotation jobs varies depending on the employer, project complexity, and experience level, but typically ranges from $10 to $20 per hour or $0.02 to $0.10 per task. Many roles are paid on a per-task basis, and some may offer bonuses for accuracy or speed. Compensation can also depend on whether the work is freelance or employed by a company.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
What are the most commonly searched types of Ai Data Annotation jobs in California? The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Weekend Ai Data Annotation jobs in California? For Weekend Ai Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Annotation jobs in California look for? The top searched job categories for Weekend Ai Data Annotation jobs in California are:
What cities in California are hiring for Weekend Ai Data Annotation jobs? Cities in California with the most Weekend Ai Data Annotation job openings:
Weekend Ai Data Annotation jobs near you
Infographic showing various Weekend Ai Data Annotation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Strategist

Dyna Robotics

Redwood City, CA • On-site

$148K - $192K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Dyna Robotics is a company focused on creating general-purpose robots powered by advanced AI technology. They are seeking an AI Data Strategist to define data requirements that enhance model improvement across their robotics platform, emphasizing strategy over operational execution.
Responsibilities:
• Define Data Collection Priorities
• Identify lifecycle gaps: Maintain a clear, comprehensive view of where the data lifecycle has gaps, from pre-training through post-training.
• Direct collection efforts: Prioritize what the data collection team should focus on next, clearly distinguishing between data that merely adds volume and data that actually drives model performance.
• Design Evaluation & Quality Frameworks
• Set the standard: Define how robot episodes should be labeled and determine what rubrics and taxonomies capture meaningful signal.
• Establish quality benchmarks: Define what "good data" looks like for each task and model stage so the labeling team can execute flawlessly against your standards.
• Extract Signal from Operations
• Translate field realities: Partner closely with the operations team to understand what is happening in the field, including shift handoffs, collection quality, and deployment issues.
• Inform data strategy: Act as a strategic consumer of operations output, translating real-world operational realities into high-impact data strategy decisions without directly managing the operations team.
• Build Data Lifecycle Observability
• Define health metrics: Establish the metrics that measure the health of each phase of the data pipeline, including collection coverage, label quality, evaluation consistency, and model feedback loops.
• Drive visibility: Create a real-time, organization-wide view of data lifecycle health.
Qualifications:
Required:
• 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles.
• Proven experience defining data quality standards, evaluation frameworks, annotation systems, or data strategy for machine learning products.
• Experience working closely with cross-functional teams, including ML researchers, operations, annotation teams, and engineering.
• A deep understanding of how deployment failures, edge cases, and real-world operational data translate into model training and evaluation improvements.
Preferred:
• Experience operating in fast-moving, ambiguous startup or R&D-heavy environments.
• Experience with embodied AI, video, or time-series data.
• Familiarity with evaluation pipelines, active learning, or data-centric AI.
• Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.
Company:
Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply