Responsibilities : • Test new AI products and provide actionable feedback to improve functionality and user experience. • Conduct detailed data annotation and quality assurance of natural ...
Responsibilities : • Test new AI products and provide actionable feedback to improve functionality and user experience. • Conduct detailed data annotation and quality assurance of natural ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$150K - $400K/yr
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is ... Experience building data annotation and dataset management tools. The US base salary range for this ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$150K - $400K/yr
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is ... Experience building data annotation and dataset management tools. The US base salary range for this ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$150K - $400K/yr
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is ... Experience building data annotation and dataset management tools. The US base salary range for this ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$150K - $400K/yr
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is ... Experience building data annotation and dataset management tools. The US base salary range for this ...
AI Data Platform Engineer
Cupertino, CA · On-site
$141K - $169K/yr
Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...
AI Data Platform Engineer
Cupertino, CA · On-site
$141K - $169K/yr
Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...
Technical Product Manager - Data Annotation & Labelling
San Mateo, CA · On-site
$190K - $219K/yr
Position Overview We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection.
Technical Product Manager - Data Annotation & Labelling
San Mateo, CA · On-site
$190K - $219K/yr
Position Overview We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection.
Responsibilities : • Test new AI products and provide actionable feedback to improve functionality and user experience. • Conduct detailed data annotation and quality assurance of natural ...
Responsibilities : • Test new AI products and provide actionable feedback to improve functionality and user experience. • Conduct detailed data annotation and quality assurance of natural ...
AI Data Platform Engineer
$150K - $277K/yr
Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...
AI Data Platform Engineer
$150K - $277K/yr
Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...
Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is ... Experience with data annotation workflows and/or building internal tooling for them
Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is ... Experience with data annotation workflows and/or building internal tooling for them
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Quick apply
AI/ML Data Contributor
Los Angeles, CA · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Quick apply
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI Data Strategist
Redwood City, CA · On-site
$148K - $192K/yr
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 ...
AI Data Strategist
Redwood City, CA · On-site
$148K - $192K/yr
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 ...
AI Data Strategist
Redwood City, CA · On-site
$148K - $192K/yr
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 ...
AI Data Strategist
Redwood City, CA · On-site
$148K - $192K/yr
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 ...
AI Finance Expert - Remote
Palo Alto, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
Quick apply
AI Finance Expert - Remote
Palo Alto, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
AI/ML Data Contributor
Los Angeles, CA · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI Finance Expert - Remote
Los Angeles, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
Quick apply
AI Finance Expert - Remote
Los Angeles, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
AI Finance Expert - Remote
San Jose, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
Quick apply
AI Finance Expert - Remote
San Jose, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
AI Finance Expert - Remote
San Francisco, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
Quick apply
AI Finance Expert - Remote
San Francisco, CA · Remote
$100 - $200/hr
AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...
New
Ai Data Annotation information
What are the key skills and qualifications needed to thrive in AI data annotation?
To excel in AI Data Annotation, you need strong attention to detail, data accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or similar platforms is often required, and some employers may value basic programming or machine learning course certifications. Excellent communication, the ability to follow detailed guidelines, and time management are valuable soft skills in this role. These skills ensure the production of high-quality annotated datasets, which are critical for training reliable AI and machine learning models.
What does an AI data annotation do?
As an AI Data Annotator, your typical day involves labeling and tagging data such as images, audio, or text according to specific project guidelines, often using specialized annotation software. You may work independently or as part of a remote or on-site team, collaborating with data scientists and quality assurance specialists to ensure consistency and accuracy. Regular feedback sessions and quality checks are common to maintain high annotation standards. The role can be repetitive, but attention to detail and clear communication with team members help create datasets that are crucial for training effective AI systems.
What is an AI data annotation?
An AI Data Annotation job involves labeling or tagging data, such as text, images, audio, or video, to train machine learning models. Annotators ensure that data is accurately categorized so AI systems can learn to recognize patterns and make predictions. This work is crucial for improving AI applications like self-driving cars, chatbots, and image recognition software. It often requires attention to detail and familiarity with specific annotation tools.
How much do AI data annotators make?
AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are freelance or part-time, requiring attention to detail and familiarity with annotation tools like Labelbox or CVAT.
How to become an AI data annotation?
To become an AI data annotation specialist, you should have strong attention to detail, basic computer skills, and familiarity with annotation tools such as LabelImg or CVAT. Many roles require a high school diploma or equivalent, and some employers prefer candidates with experience in data labeling or related fields. Training is often provided on the job, and the work can be remote or in-office with flexible schedules.
What are the most commonly searched types of Ai Data Annotation jobs in California? The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Ai Data Annotation jobs in California? For Ai Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Data Annotation jobs in California look for? The top searched job categories for Ai Data Annotation jobs in California are:
What cities in California are hiring for Ai Data Annotation jobs? Cities in California with the most Ai Data Annotation job openings:
Full-time
Re-posted 9 days ago
Welocalize rating
6.5
Based on 13 frontline employees who took The Breakroom Quiz
333rd of 488 rated business services
Job description
Job Summary:
Welo Data is looking for a skilled Data Analyst to join their team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Responsibilities:
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• 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 and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Qualifications:
Required:
• Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• 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 and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred:
• University degree in linguistics, translation, or a related field.
• 3-5 years of professional linguistics experience.
• Strong analytical skills with the ability to detect patterns and anomalies.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Adaptability to evolving priorities and project requirements.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Welo Data is looking for a skilled Data Analyst to join their team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Responsibilities:
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• 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 and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Qualifications:
Required:
• Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• 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 and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred:
• University degree in linguistics, translation, or a related field.
• 3-5 years of professional linguistics experience.
• Strong analytical skills with the ability to detect patterns and anomalies.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Adaptability to evolving priorities and project requirements.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
What Welocalize employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Welocalize
Sourced by ZipRecruiter
Industry
Translation services
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US