San Francisco, CA · On-site
$150K - $300K/yr (+ commission)
You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.
Quick apply
San Francisco, CA · On-site
$150K - $300K/yr (+ commission)
You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.
Santa Clara, CA · On-site
$200 - $250/hr
The team develops and manages software that supports a high volume of active annotation projects across diverse research areas, like Nemotron, Cosmos, Robotics and Red teaming delivering a large ...
Santa Clara, CA · On-site
$200 - $250/hr
The team develops and manages software that supports a high volume of active annotation projects across diverse research areas, like Nemotron, Cosmos, Robotics and Red teaming delivering a large ...
San Francisco, CA · On-site
$150K - $185K/yr
Own the annotation process end to end, including the workflow, software, and steps that move data through it (ingest, schema mapping, format and ontology validation, and delivery). Select and ...
San Francisco, CA · On-site
$150K - $185K/yr
Own the annotation process end to end, including the workflow, software, and steps that move data through it (ingest, schema mapping, format and ontology validation, and delivery). Select and ...
MDAEdge is seeking a Technical Program Manager to lead data annotation programs for AI research. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality ...
MDAEdge is seeking a Technical Program Manager to lead data annotation programs for AI research. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality ...
Sunnyvale, CA · On-site
$55 - $70/hr
Hands-on capability to perform manual data annotation (audio, video, sensor, text) against strict labeling guidelines * Solid understanding of human factors, ergonomics, or usability principles for ...
Sunnyvale, CA · On-site
$55 - $70/hr
Hands-on capability to perform manual data annotation (audio, video, sensor, text) against strict labeling guidelines * Solid understanding of human factors, ergonomics, or usability principles for ...
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Quick apply
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Your team's focus will be driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent ...
Your team's focus will be driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent ...
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Quick apply
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Santa Clara, CA · On-site
$124K - $169K/yr
Lead the selection, development and integration of modules such as data processing links, data mining, collection and annotation tools, and visualization tools to improve the automation level and ...
Santa Clara, CA · On-site
$124K - $169K/yr
Lead the selection, development and integration of modules such as data processing links, data mining, collection and annotation tools, and visualization tools to improve the automation level and ...
Your team's focus will be driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent ...
Your team's focus will be driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent ...
Santa Clara, CA · On-site
$50/hr
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...
Santa Clara, CA · On-site
$50/hr
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...
Santa Clara, CA · On-site +1
$50/hr
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...
Quick apply
Santa Clara, CA · On-site +1
$50/hr
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...
Your team's focus will be driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent ...
Your team's focus will be driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent ...
San Francisco, CA · On-site
Architect and implement image viewing and annotation solutions for medical imaging * Optimize performance for large-scale image rendering and annotation workflows * Logging, Audits, Versioning * Gen ...
San Francisco, CA · On-site
Architect and implement image viewing and annotation solutions for medical imaging * Optimize performance for large-scale image rendering and annotation workflows * Logging, Audits, Versioning * Gen ...
Santa Clara, CA · On-site +1
$50/hr
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...
Quick apply
Santa Clara, CA · On-site +1
$50/hr
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...
The ideal candidate will bring a strong mix of technical leadership, expertise in data curation and annotation processes, and deep analytical skills. You will collaborate closely with cross ...
The ideal candidate will bring a strong mix of technical leadership, expertise in data curation and annotation processes, and deep analytical skills. You will collaborate closely with cross ...
... annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books. Description In this role, you will own the operational strategy and continuous improvement of large ...
... annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books. Description In this role, you will own the operational strategy and continuous improvement of large ...
Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance.
Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance.
Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance.
Quick apply
Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance.
An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.
Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.
Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.
The most popular types of Annotation jobs in California are:
For Annotation jobs in California, the most frequently searched job titles are:
The top searched job categories for Annotation jobs in California are:
Cities in California with the most Annotation job openings:
San Francisco, CA • On-site
$150K - $300K/yr (+ commission)
Full-time
Medical, Dental, Vision, PTO
Re-posted 27 days ago
Own data annotation projects end-to-end, translating complex AI/ML requirements into workflows and instructions for annotation teams
Design and refine annotation processes, audit results, and build feedback loops to improve data quality
Act as a trusted advisor to clients by designing and implementing human-annotation workflows to facilitate rapid production
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Strategic Projects Lead, you'll fully own and optimize the data annotation and machine learning workflows behind Encord's largest client relationships. You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.
This is a hands-on, high visibility role. You have direct influence on whether Encord's highest-value customers renew and expand.
What you'll do
Own data annotation projects end-to-end, translating complex AI/ML requirements into clear workflows and instructions for annotation teams
Design and refine annotation processes, audit results, and build feedback loops that raise data quality
Act as a trusted advisor to clients — designing and implementing the human-annotation workflow that gets them to production fastest
Partner with product and engineering to drive improvements in AI training data tools and methodology
Directly influence account health: your workflow design and execution are a primary driver of whether strategic accounts renew, expand, or churn
Who we're looking for
A sharp, execution-oriented operator with a consulting or AI-company pedigree . A structured thinker, strong PM instincts, bias for getting things done
Analytically rigorous and comfortable with ambiguity. You break down operational problems from first principles
Technically fluent: comfortable querying a database, auditing annotation outputs, or automating a workflow in Python
A natural translator between ML engineers and non-technical clients on multi-stakeholder projects
Entrepreneurial — you take ownership without waiting to be told what to do
Experience requirements
3–7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
Proven ownership of complex, multi-stakeholder workflows end-to-end: scoping, execution, QA, iteration
Experience designing/optimizing data operations with an eye for quality, consistency, and scalability, ideally human-in-the-loop or structured labeling work
Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams
Bonus: Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
Compensation Range: $150K - $300K
