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Ai Annotation Remote Jobs in California (NOW HIRING)

Mercor

Spanish Audio Evaluator - Expert

San Francisco, CA · Remote

$50/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Transcribe and optimize audio and video ... Provide structured feedback to improve AI model performance in Spanish audio tasks. * Participate ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

Rivian

Staff Technical Program Manager, Autonomy

Palo Alto, CA · Remote

$186K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It also includes defining how remote operators provide guidance to the vehicle, alongside designing ... You enjoy prototyping random side projects in your spare time, ideally related to AI/ML or robotics.

LatchBio

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Veracyte

Principal Data Scientist

San Diego, CA · Remote

$210K/yr

... annotation or labels for ML development. * Analyze complex data/ML problems and break them into ... Expert in Python or equivalent language for AI/ML development in the context of computer vision ...

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Ai Annotation Remote information

What is an AI annotation remote job?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What are the key skills and qualifications needed to thrive as an AI annotation remote worker?

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

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

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

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

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

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

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

What cities in California are hiring for Ai Annotation Remote jobs?

Cities in California with the most Ai Annotation Remote job openings:

Ai Annotation Remote jobs near you
Infographic showing various Ai Annotation Remote job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Spanish Audio Evaluator - Expert

Mercor

San Francisco, CA • Remote

$50/hr

Full-time

Re-posted 17 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Spanish (Spain) Audio Generalist Evaluator Expert
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 10–20 hours/week

Role Responsibilities

  • Transcribe and optimize audio and video content in Spanish (Spain), ensuring clarity and accuracy.
  • Develop evaluation rubrics and grading guidelines in Spanish and English to ensure consistency.
  • Conduct model testing and grading to assess outputs for accuracy and fluency.
  • Provide structured feedback to improve AI model performance in Spanish audio tasks.
  • Participate in QA and review cycles to maintain quality and reliability in datasets.
  • Collaborate with project leads to resolve ambiguities and improve task design.

Qualifications

Must-Have

  • Strong writing, editing, and critical thinking skills.
  • Ability to work independently and manage time effectively.
  • Native or near-native fluency in Spanish (Spain) and professional fluency in English.
  • Familiarity with Peninsular Spanish, regional vocabulary, and contemporary language usage.
  • Ability to transcribe and analyze Spanish audio content accurately.

Preferred

  • College students or recent graduates.
  • Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines.
  • Experience with transcription, annotation, localization, evaluation, or research workflows in Spanish.
  • Familiarity with differences between Peninsular Spanish and Latin American Spanish varieties.
  • Interest in AI, language models, or applied research environments.

Application Process (Takes 20–30 mins to complete)

  • Complete a short AI-led interview (approximately 15 minutes).
  • If selected, you will be onboarded and invited to begin project work.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.