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Ai Labelling Jobs in California (NOW HIRING)

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

They are seeking an AI Data Strategist to define the data requirements for model improvement across ... Define what "good data" looks like for each task and model stage so the labeling team can execute ...

Tata Consultancy Service Limited

AI/ML Engineer

Woodland Hills, CA · On-site

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Must Have Technical/Functional Skills • Python (Expert level) • Machine Learning & Model Training o Training, evaluation, fine tuning o Tagging and labeling workflows • Generative AI & LLMs o ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

They are seeking an AI Data Strategist to define data requirements that enhance model improvement ... Define what "good data" looks like for each task and model stage so the labeling team can execute ...

Info Way Solutions

Java with AI

Sunnyvale, CA · On-site

$59.50 - $77/hr

... label recipe search tool • Build client portal for managing and delivering content assets • ... Preferred : • Java • spring • ai • ml • strip • Salesforce • twilo • AWS • kafka ...

Hippocratic AI

Director, Regulatory

Menlo Park, CA · On-site

$176K - $233K/yr

... off-label questions, and clinical content across therapeutic areas. * Creative thinker who brings original ideas to the table and can partner with the product team to architect purpose-built AI ...

Avala AI, Inc

3D Computer Vision Engineer

San Francisco, CA · On-site

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI & Robotics About Avala AI Avala AI is an AI Data Infrastructure company operating at the intersection of real-world AI and the labor economy. We specialize in high-quality data labeling, dataset ...

Sprinter Health

Applied Scientist, AI

San Francisco, CA · On-site

$180K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Identify label leakage, selection bias, confounding, and other data artifacts before they reach ... Built models using Python and standard ML or AI tooling such as PyTorch, scikit-learn, NumPy ...

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All JobsAi Labelling JobsAi Labelling Jobs in California

Ai Labelling information

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What are popular job titles related to Ai Labelling jobs in California?

For Ai Labelling jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Labelling jobs in California look for?

The top searched job categories for Ai Labelling jobs in California are:

What cities in California are hiring for Ai Labelling jobs?

Cities in California with the most Ai Labelling job openings:

Ai Labelling jobs near you
Infographic showing various Ai Labelling job openings in California as of August 2026, with employment types broken down into 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

AI Data Strategist

Dyna Robotics

Redwood City, CA • On-site

$148K - $192K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Dyna Robotics is a company that develops general-purpose robots powered by a proprietary embodied AI foundation model. They are seeking an AI Data Strategist to define the data requirements for model improvement across their robotics platform, focusing on strategy rather than 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.

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