We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling capabilities at Pinterest. In this role, you will: * Execute high ...
We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling capabilities at Pinterest. In this role, you will: * Execute high ...
Project Perseus | Data Quality Analyst - Turkish Speakers (Human-in-the-Loop AI)
Sunnyvale, CA · On-site
The position requires close collaboration with Data Labeling Associates and Team Leads to audit outputs, provide feedback, and support training efforts. Responsibilities : • Support quality and ...
Project Perseus | Data Quality Analyst - Turkish Speakers (Human-in-the-Loop AI)
Sunnyvale, CA · On-site
The position requires close collaboration with Data Labeling Associates and Team Leads to audit outputs, provide feedback, and support training efforts. Responsibilities : • Support quality and ...
The role focuses on executing high-volume data labeling and annotation tasks for speech and voice datasets, ensuring accuracy and consistency in data integrity for AI training pipelines.
New
The role focuses on executing high-volume data labeling and annotation tasks for speech and voice datasets, ensuring accuracy and consistency in data integrity for AI training pipelines.
New
The role involves executing high-volume data labeling and annotation tasks, ensuring accuracy and consistency in handling audio and language data. Responsibilities : • Execute high-volume data ...
The role involves executing high-volume data labeling and annotation tasks, ensuring accuracy and consistency in handling audio and language data. Responsibilities : • Execute high-volume data ...
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
This role focuses on executing high-volume data labeling and annotation tasks to support speech and voice AI systems, ensuring accuracy and data integrity. Responsibilities : • Execute high-volume ...
This role focuses on executing high-volume data labeling and annotation tasks to support speech and voice AI systems, ensuring accuracy and data integrity. Responsibilities : • Execute high-volume ...
This role focuses on executing data labeling tasks to support AI systems, ensuring accuracy and consistency in handling audio and language data. Responsibilities : • Execute high-volume data ...
This role focuses on executing data labeling tasks to support AI systems, ensuring accuracy and consistency in handling audio and language data. Responsibilities : • Execute high-volume data ...
The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
Welo Data is looking for detail-oriented individuals to join their team as Speech & Voice AI Analysts, focusing on data labeling for AI systems. The role involves executing high-volume data ...
New
Welo Data is looking for detail-oriented individuals to join their team as Speech & Voice AI Analysts, focusing on data labeling for AI systems. The role involves executing high-volume data ...
New
The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets, ensuring accuracy and data integrity for AI training pipelines. Responsibilities : • ...
New
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets, ensuring accuracy and data integrity for AI training pipelines. Responsibilities : • ...
New
The role involves executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI training pipelines. Responsibilities : • Execute high-volume data labeling ...
New
The role involves executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI training pipelines. Responsibilities : • Execute high-volume data labeling ...
New
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
Project Perseus | Data Labeling Associate - Portuguese (Portugal) Speakers (Human-in-the-Loop AI)
Sunnyvale, CA · On-site
$68.90K - $69.40K/yr
Welo Data is seeking detail-oriented individuals to join their team as Data Labeling Associates. The role involves evaluating AI model outputs, providing structured feedback, and improving evaluation ...
Project Perseus | Data Labeling Associate - Portuguese (Portugal) Speakers (Human-in-the-Loop AI)
Sunnyvale, CA · On-site
$68.90K - $69.40K/yr
Welo Data is seeking detail-oriented individuals to join their team as Data Labeling Associates. The role involves evaluating AI model outputs, providing structured feedback, and improving evaluation ...
The role focuses on executing data labeling and annotation tasks to support speech and voice AI systems, ensuring accuracy and consistency in the datasets that power AI models. Responsibilities : • ...
The role focuses on executing data labeling and annotation tasks to support speech and voice AI systems, ensuring accuracy and consistency in the datasets that power AI models. Responsibilities : • ...
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI systems. Responsibilities : • Execute high-volume data labeling and ...
The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to ensure models are trained on accurate and representative inputs. Responsibilities ...
The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to ensure models are trained on accurate and representative inputs. Responsibilities ...
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 ...
The role involves executing high-volume data labeling and annotation tasks across speech and voice datasets to ensure models are trained on accurate and well-structured inputs. Responsibilities : • ...
New
The role involves executing high-volume data labeling and annotation tasks across speech and voice datasets to ensure models are trained on accurate and well-structured inputs. Responsibilities : • ...
New
This role focuses on executing high-volume data labeling and annotation tasks to support speech and voice AI systems, ensuring accuracy and data integrity in the datasets used for AI training.
This role focuses on executing high-volume data labeling and annotation tasks to support speech and voice AI systems, ensuring accuracy and data integrity in the datasets used for AI training.
Data Labeling information
See California salary details
$10.12 - $14.36
9% of jobs
$15.58 is the 25th percentile. Wages below this are outliers.
$14.36 - $18.60
54% of jobs
$22.26 is the 75th percentile. Wages above this are outliers.
$18.60 - $22.83
14% of jobs
$22.83 - $27.07
4% of jobs
$27.07 - $31.31
2% of jobs
$31.31 - $35.54
11% of jobs
$35.54 - $39.78
2% of jobs
$39.78 - $44.02
1% of jobs
$44.02 - $48.26
1% of jobs
$48.26 - $52.49
1% of jobs
$52.49 - $56.73
1% of jobs
$10
$24
$56
How much do data labeling jobs pay per hour?
As of Jun 1, 2026, the average hourly pay for data labeling in California is $24.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $27.54 per hour, depending on experience, location, and employer.
What is a Data Labeling job?
A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.
What are the key skills and qualifications needed to thrive in the Data Labeling position, and why are they important?
To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.
What are the typical day-to-day responsibilities of a Data Labeling professional?
A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.
More about Data Labeling jobs
What are the most commonly searched types of Data Labeling jobs in California? The most popular types of Data Labeling jobs in California are:
What are popular job titles related to Data Labeling jobs in California? For Data Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in California look for? The top searched job categories for Data Labeling jobs in California are:
What cities in California are hiring for Data Labeling jobs? Cities in California with the most Data Labeling job openings:
Other
Posted 13 days ago
Job description
Pinterest brings millions of people the inspiration to create a life they love. Advancements in Generative AI have opened up a wealth of opportunities for improvements in productivity and labeling quality, and we've only scratched the surface of its capabilities. Early results show strong promise for LLM-assisted labeling - reducing time and cost, focusing human rater efforts on higher-value problems, and improving the accuracy of our learnings.
This role focuses on advancing the science and systems behind labeling, evaluation, and GenAI-enabled workflows. The work spans LLM-assisted labeling, human-in-the-loop quality systems, prompt and rubric design, model evaluation, and methods for improving the speed, consistency, and usefulness of judgment-based data.
We're looking for a strong senior individual contributor to execute high-impact technical work in this space, partner cross-functionally to turn successful ideas into durable platform capabilities, and grow with the team as the space evolves.
What you'll do:
We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling capabilities at Pinterest. In this role, you will:
- Execute high-impact scientific work across GenAI-powered labeling and evaluation systems
- Identify opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
- Develop prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
- Design experiments and measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
- Partner with engineering, product, and data science teams to productionize successful approaches
- Apply standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
- Contribute to reusable methods and frameworks that can scale across teams and use cases
- Support more junior scientists and contribute to the technical health of the team
What we're looking for:
- 6+ years of combined post-graduate academic and industry experience (or PhD + 3 years) applying scientific methods to real-world problems on large-scale data
- Strong hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
- Experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
- Ability to turn ambiguous problems into rigorous analyses, experiments, and prototypes
- Track record of writing high-quality code and using technical work to influence product or platform direction
- Solid cross-functional collaboration skills and experience working effectively across teams
- Business and product sense with the ability to define meaningful success metrics
- Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
- Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred
Relocation Statement:
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
In-Office Requirement Statement:
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-NM4
#LI-REMOTE
About Pinterest
Sourced by ZipRecruiter
Industry
Internet and it
Company size
1,001 - 5,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2009