As a Data Annotation Specialist, you will: * Perform high-volume image and video labeling using internal proprietary annotation tools * Review visual datasets across multiple sensor and data types
As a Data Annotation Specialist, you will: * Perform high-volume image and video labeling using internal proprietary annotation tools * Review visual datasets across multiple sensor and data types
Data Annotation Lead
San Francisco, CA · On-site
Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than ...
Data Annotation Lead
San Francisco, CA · On-site
Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Design and build a hybrid cascading auto-labeling pipeline that intelligently selects annotation techniques - onboard sensor-derived labels, specialized AI models, and VLMs ...
Responsibilities : • Design and build a hybrid cascading auto-labeling pipeline that intelligently selects annotation techniques - onboard sensor-derived labels, specialized AI models, and VLMs ...
Agentic Data Understanding
San Francisco, CA · On-site
$134K - $162K/yr
Auto-Labeling Systems * Design and build a hybrid cascading auto-labeling pipeline that intelligently selects annotation techniques - onboard sensor-derived labels, specialized AI models, and VLMs ...
Agentic Data Understanding
San Francisco, CA · On-site
$134K - $162K/yr
Auto-Labeling Systems * Design and build a hybrid cascading auto-labeling pipeline that intelligently selects annotation techniques - onboard sensor-derived labels, specialized AI models, and VLMs ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...
Data Labeling Specialist (Remote)
San Francisco, CA · Remote
$17/hr
Prior experience in data labeling, annotation, writing, research, or operations is helpful but not required * Must be based in US or Canada Workada is an Equal Opportunity Employer. We welcome ...
Data Labeling Specialist (Remote)
San Francisco, CA · Remote
$17/hr
Prior experience in data labeling, annotation, writing, research, or operations is helpful but not required * Must be based in US or Canada Workada is an Equal Opportunity Employer. We welcome ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...
Chief Data Scientist
San Francisco, CA · Remote
$70 - $100/hr
Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Quick apply
Chief Data Scientist
San Francisco, CA · Remote
$70 - $100/hr
Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Data Science Specialist - Fully Remote
San Francisco, CA · Remote
$70 - $100/hr
Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Quick apply
Data Science Specialist - Fully Remote
San Francisco, CA · Remote
$70 - $100/hr
Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Technical Program Manager, Data
San Francisco, CA · On-site
$152K - $196K/yr
... labeling. • Expertise in writing technical specifications for data annotation pipelines. Preferred : • Understanding of ML data pipelines and their applications. • Experience working with LLMs ...
Technical Program Manager, Data
San Francisco, CA · On-site
$152K - $196K/yr
... labeling. • Expertise in writing technical specifications for data annotation pipelines. Preferred : • Understanding of ML data pipelines and their applications. • Experience working with LLMs ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Annotation Labelling information
What is annotation labelling?
Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.
What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?
To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.
What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?
Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.
What is the difference between Annotation Labelling vs Data Labeling Specialist?
| Aspect | Annotation Labelling | Data Labeling Specialist |
|---|---|---|
| Credentials | Basic technical skills, attention to detail | Similar skills, sometimes additional domain knowledge |
| Work Environment | Data annotation platforms, remote or office | Data annotation tasks, often remote or in-office |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, healthcare, retail |
| Search & Comparison | Commonly compared for entry-level data tasks | Related but broader role |
Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.
What job categories do people searching Annotation Labelling jobs in Martinez, CA look for? The top searched job categories for Annotation Labelling jobs in Martinez, CA are:
What cities near Martinez, CA are hiring for Annotation Labelling jobs? Cities near Martinez, CA with the most Annotation Labelling job openings:
Data Annotation Specialist - Computer Vision & Video Labeling
San Francisco, CA
$20 - $40/hr
Contractor
Re-posted 2 days ago
Job description
Are you highly detail-oriented with the ability to stay focused through complex visual tasks? We're seeking a Data Annotation Specialist to support cutting-edge computer vision and autonomous systems development by labeling and reviewing large-scale image and video datasets. In this role, your work will directly improve the quality of machine learning models used in advanced perception systems.
This is an excellent opportunity for candidates with experience in computer vision annotation, robotics, aviation, maritime operations, drone systems, military intelligence analysis, or sensor-based technologies who enjoy analytical, high-focus work in a fast-paced technical environment.
As a Data Annotation Specialist, you will:- Perform high-volume image and video labeling using internal proprietary annotation tools
- Review visual datasets across multiple sensor and data types
- Identify, document, and flag model failure cases to support machine learning improvements
- Maintain strong labeling accuracy while meeting throughput and productivity targets
- Track progress across large datasets and ensure consistent performance
- Follow established annotation guidelines and escalate unclear or edge-case scenarios when needed
- Work closely with technical teams to support rapid model development cycles
Requirements
Ideal BackgroundWe're especially interested in candidates with backgrounds in:
- Maritime operations
- Drone/UAS operations
- Aviation or aircraft systems
- Military intelligence, ISR, or sensor analysis
- Robotics or autonomous systems
- Computer vision or video annotation environments
- Must be a U.S. Citizen (required for CUI eligibility)
- Experience with computer vision labeling, robotics annotation, or video/image analysis
- Strong attention to detail and ability to maintain focus during repetitive visual review tasks
- Comfortable working in proprietary internal software platforms
- Ability to consistently balance speed and accuracy in a production environment
- Strong pattern recognition and analytical skills
- Reliable internet connection and ability to work independently
Benefits
Schedule- 20-30 hours per week initially while current project backlog is addressed
- Hours may adjust based on project needs and performance
Pay Rate = $20 - $40 per hour