San Francisco, CA · On-site
Scale AI builds the data infrastructure that powers the world's most advanced AI. They are seeking ... labeling, evaluation, and deployment • Experience with global payment systems, contributor/gig ...
San Francisco, CA · On-site
Scale AI builds the data infrastructure that powers the world's most advanced AI. They are seeking ... labeling, evaluation, and deployment • Experience with global payment systems, contributor/gig ...
Manhattan, NY · On-site
Scale AI is a company that builds the data infrastructure powering advanced AI systems. They are ... labeling, evaluation, and deployment • Experience with global payment systems, contributor/gig ...
Manhattan, NY · On-site
Scale AI is a company that builds the data infrastructure powering advanced AI systems. They are ... labeling, evaluation, and deployment • Experience with global payment systems, contributor/gig ...
San Jose, CA · On-site
$30/hr
🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training will be provided Join our mission to build the world's first general-purpose humanoid robot. As a Data ...
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San Jose, CA · On-site
$30/hr
🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training will be provided Join our mission to build the world's first general-purpose humanoid robot. As a Data ...
Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning. • Collaborate with internal labeling teams to design "robotic-native" data pipelines, including ...
Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning. • Collaborate with internal labeling teams to design "robotic-native" data pipelines, including ...
$225K - $275K/yr
Experience building human data labeling interfaces, annotation workflows, or data collection pipelines * Familiarity with preference data and reward models used in AI model training (RLHF, RLVR, or ...
$225K - $275K/yr
Experience building human data labeling interfaces, annotation workflows, or data collection pipelines * Familiarity with preference data and reward models used in AI model training (RLHF, RLVR, or ...
Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...
Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...
Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...
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Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...
The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research ... labeling to guiding experts on complex, multi-step tasks. From rapidly prototyping and testing ...
The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research ... labeling to guiding experts on complex, multi-step tasks. From rapidly prototyping and testing ...
Midland, TX · On-site
Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...
Midland, TX · On-site
Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...
Redwood City, CA · On-site +1
$190K - $240K/yr
Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model ... AI/ML pipelines, LLM systems, or agentic workflows; or * MLOps/model platform infrastructure, data ...
Redwood City, CA · On-site +1
$190K - $240K/yr
Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model ... AI/ML pipelines, LLM systems, or agentic workflows; or * MLOps/model platform infrastructure, data ...
The AI Platform Product Manager will drive the strategy and execution of Shield AI's next ... labeling, synthetic data generation, domain model training, and distillation pipelines. * Define ...
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The AI Platform Product Manager will drive the strategy and execution of Shield AI's next ... labeling, synthetic data generation, domain model training, and distillation pipelines. * Define ...
The AI Platform Product Manager will drive the strategy and execution of Shield AI's next ... labeling, synthetic data generation, domain model training, and distillation pipelines. * Define ...
The AI Platform Product Manager will drive the strategy and execution of Shield AI's next ... labeling, synthetic data generation, domain model training, and distillation pipelines. * Define ...
Snorkel AI is an AI platform that accelerates data labeling by using machine learning for faster model training. Founded in 2019, the company is headquartered in Redwood City, USA, with a team of 51 ...
Snorkel AI is an AI platform that accelerates data labeling by using machine learning for faster model training. Founded in 2019, the company is headquartered in Redwood City, USA, with a team of 51 ...
The AI Platform Product Manager will drive the strategy and execution of Shield AI's next ... labeling, synthetic data generation, domain model training, and distillation pipelines. * Define ...
The AI Platform Product Manager will drive the strategy and execution of Shield AI's next ... labeling, synthetic data generation, domain model training, and distillation pipelines. * Define ...
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.
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.
Boston, MA · On-site +1
$113K - $155K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Boston, MA · On-site +1
$113K - $155K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Jackson, MS · On-site +1
$91K - $125K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Jackson, MS · On-site +1
$91K - $125K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Bismarck, ND · On-site +1
$102K - $140K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Bismarck, ND · On-site +1
$102K - $140K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Boise, ID · On-site +1
$99K - $136K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Boise, ID · On-site +1
$99K - $136K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
Sunnyvale, CA · On-site
$122K - $168K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers, Product Operations, Product Management, Data Science ...
Sunnyvale, CA · On-site
$122K - $168K/yr
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We partner closely across AI/ML engineers, Product Operations, Product Management, Data Science ...
$13.46 - $18.86
2% of jobs
$18.86 - $24.26
2% of jobs
$24.26 - $29.65
5% of jobs
$29.65 - $35.05
0% of jobs
$35.05 - $40.45
2% of jobs
$40.45 - $45.85
7% of jobs
$47.59 is the 25th percentile. Wages below this are outliers.
$45.85 - $51.25
18% of jobs
The median wage is $55.29 / hr.
$51.25 - $56.64
17% of jobs
$56.64 - $62.04
16% of jobs
$63.56 is the 75th percentile. Wages above this are outliers.
$62.04 - $67.44
17% of jobs
$67.44 - $72.84
13% of jobs
$13
$54
$72
One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.
An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.
To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.
Sourced by ZipRecruiter
Software development
201 - 500 Employees
San Francisco, CA, US
2016
