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Data Annotation Tech Remote Jobs in San Jose, CA

Welocalize

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data ...

SpaceXAI

AI Tutor - Legal & Compliance

Palo Alto, CA · On-site +1

$50 - $100/hr

... technologies. * Assist in designing and improving efficient annotation tools tailored for legal and compliance data. * Select and analyze complex problems in legal and compliance fields aligned with ...

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Data Annotation Tech Remote information

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How much do data annotation tech remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data annotation tech remote in San Jose, CA is $26.77, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $31.83 per hour, depending on experience, location, and employer.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the most commonly searched types of Data Annotation Tech jobs in San Jose, CA?

The most popular types of Data Annotation Tech jobs in San Jose, CA are:

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For Data Annotation Tech Remote jobs in San Jose, CA, the most frequently searched job titles are:

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The top searched job categories for Data Annotation Tech Remote jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Data Annotation Tech Remote jobs?

Cities near San Jose, CA with the most Data Annotation Tech Remote job openings:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,684 per year, or $26.8 per hour.

Japanese Language Expert - Remote

YO AI Labs

San Jose, CA • Remote

$65 - $100/hr

Full-time

Posted 10 days ago

Job description

Job Title: Japanese Language Expert

Job Type: Contract
Location: Remote

Job Overview

We are seeking experienced Japanese Language Experts to contribute their linguistic expertise to a project focused on improving next-generation AI systems. In this role, you will work with Japanese and English audio and written content, ensuring accurate transcription, translation, contextual fidelity, and high-quality linguistic output.

No prior AI experience is required—your language expertise, attention to detail, and bilingual proficiency are what matter most.

Key Responsibilities
  • Accurately transcribe audio and written materials between Japanese and English.
  • Review, edit, and proofread transcripts to ensure linguistic accuracy, clarity, and contextual fidelity.
  • Identify and correct grammatical, terminology, and transcription errors.
  • Provide detailed linguistic feedback to improve transcription quality and consistency.
  • Collaborate with remote team members to maintain project quality standards and workflows.
  • Manage multiple transcription and language tasks while meeting project deadlines.
  • Maintain consistent formatting and high-quality deliverables across assignments.
  • Communicate effectively with team members through written and verbal channels.
Required Skills & Qualifications
  • Native or near-native proficiency in Japanese with strong command of English.
  • Demonstrated experience in transcription, translation, localization, or related language services.
  • Excellent written and verbal communication skills in both Japanese and English.
  • Exceptional attention to detail and commitment to transcription accuracy.
  • Ability to work independently while collaborating effectively within a remote team.
  • Proficiency with transcription software, digital tools, and collaboration platforms.
  • Strong organizational, prioritization, and time-management skills.
Preferred Qualifications
  • Prior experience with Japanese-English bilingual transcription projects.
  • Familiarity with technical, business, or industry-specific terminology.
  • Academic or professional background in linguistics, Japanese studies, translation, language studies, or a related field.
  • Experience reviewing or quality-checking language data.
  • Familiarity with AI, language technology, or data annotation projects is a plus.