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Manager Annotation Jobs in California (NOW HIRING)

Algorithm Evaluation Manager

Sunnyvale, CA

$206K - $356K/yr

  • Medical

  • Dental

  • Retirement

Experience scaling large data operations, managing complex annotation workflows, and working ... directly with external data vendors. Technical Stack: Familiarity with Python, SQL, and ML ...

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

The Client's R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge ...

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Manage plans that shape model behavior via data management, optimization, and analysis, including ...

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Research and apply techniques for data collection, annotation, generation, and multi-modal ... Manage plans that shape model behavior via data management, optimization, and analysis, including ...

Human Data Operations Strategist

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

Technical Project Manager

Santa Clara, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own the full lifecycle of complex robotics data collection and annotation projects--from initial ... Ensure dataset production meets strict client SLAs and accuracy standards while managing internal ...

Creative Producer - Special Projects

Cupertino, CA

$144K - $263K/yr

  • Medical

  • Dental

  • Retirement

On the annotation side, you will serve as the subject-matter expert in emotion and expression ... Cross-Functional Collaboration Partner with ML teams, PMO, and data engineers to translate ...

Showing results 41-60

Manager Annotation information

What is a manager annotation?

Manager Annotation jobs involve overseeing teams responsible for labeling and annotating data, which is critical for training machine learning models. These managers coordinate workflows, ensure quality control, and facilitate communication between annotators and data scientists. They are responsible for setting guidelines, managing deadlines, and addressing any issues that arise during the annotation process. Manager Annotation roles often require a combination of leadership skills and an understanding of data annotation tools and processes.

What are the key skills and qualifications needed to thrive as a manager annotation?

To thrive as a Manager Annotation, you need expertise in data annotation processes, team leadership, and quality assurance, often supported by a relevant degree and experience in data labeling or AI/ML projects. Familiarity with annotation tools (such as Labelbox, Supervisely, or AWS SageMaker Ground Truth), project management software, and sometimes certifications in project management or data science are valuable. Strong communication, problem-solving abilities, and attention to detail help ensure effective team coordination and high-quality data outputs. These skills are crucial for delivering accurate training data, meeting project deadlines, and supporting the success of machine learning initiatives.

What are some common challenges faced by a manager annotation and how can they be addressed?

A Manager Annotation often encounters challenges such as ensuring high-quality data labeling, managing tight project deadlines, and maintaining effective communication across diverse annotation teams. Balancing quality control with efficiency can be demanding, especially when working with large datasets or remote teams. To address these challenges, it is helpful to establish clear annotation guidelines, implement robust quality assurance processes, and foster open communication channels for feedback and support. Regular training and performance reviews also play a key role in maintaining team standards and project consistency.

What is the difference between Manager Annotation vs Data Annotator?

AspectManager AnnotationData Annotator
Required CredentialsHigh school diploma or equivalent; experience in data labeling; leadership skillsHigh school diploma or equivalent; attention to detail; basic computer skills
Work EnvironmentOffice or remote management setting overseeing annotation teamsRemote or on-site data labeling tasks
Employer & Industry UsageTech companies, AI firms, data service providersAI, machine learning, data processing companies

The main difference is that a Manager Annotation oversees annotation teams and manages projects, requiring leadership and management skills, while a Data Annotator performs the actual data labeling work, focusing on accuracy and attention to detail. Managers coordinate workflows, whereas Annotators execute labeling tasks.

What are the most commonly searched types of Annotation jobs in California?

The most popular types of Annotation jobs in California are:

What are popular job titles related to Manager Annotation jobs in California?

For Manager Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Annotation jobs in California look for?

The top searched job categories for Manager Annotation jobs in California are:

What cities in California are hiring for Manager Annotation jobs?

Cities in California with the most Manager Annotation job openings:

Infographic showing various Manager Annotation job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Annotation Specialist - South Bay, CA (On Site)

Welocalize

Menlo Park, CA • On-site

Full-time

Re-posted 29 days ago


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

332nd of 492 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 involves engaging with cutting-edge AI products to support 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).
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

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