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Manager Video Annotation Jobs in California (NOW HIRING)

Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling ... Source, onboard, and manage a distributed human workforce for data annotation, curation, and ...

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

This is a senior individual contributor role that focuses on strategy rather than managing ... Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.

... and video. VoxelCloud's offerings help healthcare providers make better/earlier diagnoses and ... o Manage and make ongoing improvements to our data annotation platform and process to support ...

... and video. VoxelCloud's offerings help healthcare providers make better/earlier diagnoses and ... o Manage and make ongoing improvements to our data annotation platform and process to support ...

Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more ... You will work cross-functionally with Engineering and Project Managers, Product, and Governance ...

Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more ... You will work cross-functionally with Engineering and Project Managers, Product, and Governance ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... image, video, audio, text, reasoning, and multimodal domains • Troubleshoot dataset quality ... Project Management, Operations, Research, GTM, and Engineering teams • Assist with dataset ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... image, video, audio, text, reasoning, and multimodal domains • Troubleshoot dataset quality ... Project Management, Operations, Research, GTM, and Engineering teams • Assist with dataset ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... image, video, audio, text, reasoning, and multimodal domains • Troubleshoot dataset quality ... Project Management, Operations, Research, GTM, and Engineering teams • Assist with dataset ...

Showing results 21-40

Manager Video Annotation information

What is the difference between Manager Video Annotation vs Data Labeling Specialist?

AspectManager Video AnnotationData Labeling Specialist
CredentialsTypically requires experience in project management, familiarity with annotation tools, and sometimes a degree in related fieldsOften requires attention to detail, familiarity with labeling software, and basic technical skills
Work EnvironmentLeads teams, manages projects, and oversees annotation workflowsPerforms labeling tasks, often working independently or in small teams
Industry UsageCommon in AI/ML companies, tech firms, and research institutionsUsed across similar industries for preparing training data for machine learning models

The main difference is that a Manager Video Annotation oversees annotation projects and manages teams, while a Data Labeling Specialist focuses on executing labeling tasks. Managers handle planning and quality control, whereas specialists perform the detailed annotation work.

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

The most popular types of Video Annotation jobs in California are:

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

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Russian Audio Generalist Evaluator Expert (San Francisco Bay Area) (Train AI Models Part Time!)

Mercor

San Francisco, CA

Part-time

Re-posted 9 days ago


Job description

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.

Mercor is seeking a Russian Audio Generalist Evaluator Expert to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on transcription, annotation, and evaluation tasks that help train and benchmark advanced language models. This is a short-term, structured engagement ideal for candidates with strong academic or analytical backgrounds who are fluent in Russian and English and are **based in the San Francisco Bay Area**, enabling occasional in-person collaboration if required.

## Job Responsibilities

### Transcribe and Optimise Audio & Video

- Listen to, analyse, and transcribe audio and video content in Russian, following detailed constraints and instructions.

- Produce high-quality written outputs in Russian, with supporting work in English when required.

- Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines.

- Capture nuances such as tone, intent, formal vs. informal register, regional expressions, dialectal variations, and contemporary Russian usage where relevant.

### Define and Document Evaluation Standards

- Establish clear expectations for correct and high-quality responses in general consumer audio contexts.

- Develop detailed evaluation rubrics and grading guidelines in Russian and English.

- Document standards to ensure consistency across reviewers and model evaluations.

- Identify linguistic nuances, grammatical complexities, colloquialisms, and edge cases specific to Russian.

### Conduct Model Testing and Grading

- Run prompts through language models and assess generated outputs.

- Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity.

- Provide structured feedback to improve model performance in Russian audio tasks.

### Support Benchmarking and Quality Assurance

- Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar.

- Maintain consistency and reliability before datasets are integrated into official benchmarks.

- Collaborate with project leads to resolve ambiguities and improve task design.

## Minimum Qualifications

- Strong writing, editing, and critical thinking skills.

- Ability to work independently, manage time effectively, and meet deadlines.

- Native or near-native fluency in Russian (spoken and written) and professional fluency in English.

- Strong familiarity with spoken Russian, regional vocabulary, dialects, and contemporary language usage.

- Ability to accurately transcribe and analyse Russian audio content across general consumer contexts.

- **Must be based in the San Francisco Bay Area.**

- Available to commit 10–20 hours per week.

## Preferred Qualifications

- College students or recent graduates.

- Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines.

- Prior experience with transcription, annotation, localisation, evaluation, or research workflows in Russian.

- Familiarity with regional variations of Russian and contemporary digital language usage.

- Interest in AI, language models, or applied research environments.

## Application & Onboarding Process

- Complete a short AI-led interview (approximately 15 minutes).

- If selected, you will be onboarded and invited to begin project work.