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Annotation Engineer Jobs in California (NOW HIRING)

Teleo

Lead Perception Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

Develop auto-annotation and auto-labeling tools using SoTA methods, such as VLMs * Define ... S. or higher in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will own and operate the internal dataset library, ensuring fast and ... with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. What you'll do

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. What you'll do

Teleo

Lead Perception Engineer

Palo Alto, CA

$120K - $158K/yr

Develop auto-annotation and auto-labeling tools using SoTA methods, such as VLMs * Define ... S. or higher in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a ...

Apple

ML Safety Engineer

San Francisco, CA

$184K - $277K/yr

Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more ... Experience working with large datasets, annotation tools, and model evaluation pipelines ...

Teleo

Lead Perception Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

... annotation and auto-labeling tools using SoTA methods, such as VLMs • Define evaluation protocols that correlate with on-ground performance • Drive active learning: select the *right* data • ...

Instagram

Product Content Engineer

San Francisco, CA · On-site +1

$162K/yr

Product Content Engineering is a horizontal function supporting initiatives across Meta's family of ... Experience designing and implementing evaluation frameworks, annotation guidelines, or quality ...

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Senior / Staff AI Research Engineer, Data Infrastructure

RoboForce

Milpitas, CA • On-site

$126K - $171K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago

Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline - from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining.
Responsibilities
  • Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale.
  • Build annotation tooling and data curation workflows - quality filtering, deduplication, episode scoring, and domain reweighting - to produce high-quality training datasets for robot policy learning.
  • Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop.
  • Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team.
  • Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training.
  • Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments.

Requirements
  • Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience.
  • Strong proficiency in Python and experience building production-grade data pipelines and ETL systems.
  • Hands-on experience with large-scale dataset management, including versioning, deduplication, quality filtering, and distributed storage (e.g., S3, GCS, HDF5, WebDataset, Zarr).
  • Experience building or working with post-training infrastructure - SFT pipelines, reward modeling, or RL training loops (e.g., PPO, DPO, rejection sampling).
  • Familiarity with deep learning frameworks (PyTorch, JAX) and ML training workflows sufficient to collaborate tightly with research teams.
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications
  • Experience with robotics data collection hardware - teleoperation devices, UMI, GELLO, or similar - and the synchronization and preprocessing challenges they introduce.
  • Familiarity with robot learning pipelines: imitation learning, behavior cloning, or VLA/VLM fine-tuning workflows.
  • Experience building evaluation or experiment tracking infrastructure (e.g., Weights & Biases, MLflow, custom rollout loggers).
  • Proven ability to design annotation tooling or human-in-the-loop labeling systems for structured or multimodal data.

Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.

Apply