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Home Based Data Annotation Jobs in California (NOW HIRING)

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... The pay offered for this position may vary based on several individual factors, including job ...

General Motors

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124K - $170K/yr

This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA you are ... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ...

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

We build smart systems and infrastructure for homes, businesses, and municipalities that transform ... Experience building ML training pipelines and data annotation systems at scale. * Experience ...

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All JobsHome Based Data Annotation JobsHome Based Data Annotation Jobs in California

Home Based Data Annotation information

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Home Based Data Annotation jobs in California? For Home Based Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Home Based Data Annotation jobs in California look for? The top searched job categories for Home Based Data Annotation jobs in California are:
What cities in California are hiring for Home Based Data Annotation jobs? Cities in California with the most Home Based Data Annotation job openings:
Home Based Data Annotation jobs near you
Helix AI Engineer, Data Infrastructure

Helix AI Engineer, Data Infrastructure

Figure

San Jose, CA • On-site

$150K - $350K/yr

Full-time

Posted 11 days ago

Job description

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It's time to build.
Figure's vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities
  • Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
  • Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
  • Implement optimal data transmission and storage solutions for all stages of Figure's data pipeline from recording to neural network training
  • Work together with AI researchers to support new kinds of data workflows

Requirements
  • Strong software engineering fundamentals
  • Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
  • Minimum of 4 years of professional, full-time experience building reliable backend systems
  • Experience with Linux and command line tools
  • Experience with Python
  • Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications
  • Experience managing cloud infrastructure (AWS, Azure, GCP)
  • Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
  • Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  • Experience building data annotation and dataset management tools.

The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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