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Linguistic Data Annotation Jobs in California (NOW HIRING)

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC ... Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality ...

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC ... Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality ...

You will own the full data stack, from data creation, scraping, and synthesis, to managing an annotation workforce, to data cleaning, processing, evaluation, and analysis, applying sharp linguistic ...

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Linguistic Data Annotation information

What are some common challenges faced by linguistic data annotators, and how can they be addressed?

Linguistic data annotation often involves interpreting ambiguous or context-dependent language, which can be challenging, especially when dealing with idiomatic expressions, slang, or multiple languages. Consistency in labeling is critical, so annotators must regularly review guidelines and communicate with team members to resolve uncertainties. Many teams use collaborative tools and periodic calibration sessions to ensure high-quality, uniform annotations. Staying detail-oriented and open to feedback helps annotators continuously improve their work and adapt to evolving project requirements.

What is linguistic data annotation?

Linguistic data annotation is the process of labeling or tagging language data, such as text or speech, with relevant linguistic information. This can include marking parts of speech, named entities, syntactic structures, or semantic roles to help train and evaluate natural language processing (NLP) models. Annotators follow specific guidelines to ensure consistency and accuracy, making the data usable for machine learning tasks. Linguistic data annotation is essential for developing AI applications like chatbots, translation systems, and speech recognition software.

What is the difference between Linguistic Data Annotation vs Data Labeling Specialist?

AspectLinguistic Data AnnotationData Labeling Specialist
CredentialsBasic understanding of linguistics, language skillsGeneral data labeling skills, attention to detail
Work EnvironmentTech companies, AI development teamsData annotation firms, AI/ML companies
Industry UsageNatural language processing, speech recognitionComputer vision, image and video annotation
Search/Comparison IntentUnderstanding linguistic annotation rolesGeneral data labeling roles

While both roles involve preparing data for AI models, Linguistic Data Annotation focuses on language-specific tasks like transcribing, tagging, and annotating text or speech data. Data Labeling Specialists handle a broader range of data types, including images and videos, with less emphasis on linguistic expertise. The roles often overlap in AI development but differ in the type of data and skills required.

What are the key skills and qualifications needed to thrive as a linguistic data annotator?

To thrive as a Linguistic Data Annotator, you need a strong grasp of linguistics, attention to detail, and proficiency in at least one language, often supported by a degree in linguistics or a related field. Familiarity with annotation tools, text analysis software, and basic data management systems is typically required. Exceptional analytical thinking, consistency, and the ability to follow detailed guidelines are crucial soft skills in this position. These skills ensure high-quality, accurate data that directly supports the development and training of language technologies.
What job categories do people searching Linguistic Data Annotation jobs in California look for? The top searched job categories for Linguistic Data Annotation jobs in California are:
What cities in California are hiring for Linguistic Data Annotation jobs? Cities in California with the most Linguistic Data Annotation job openings:
Infographic showing various Linguistic Data Annotation job openings in California as of August 2026, with employment types broken down into 57% Full Time, 7% Part Time, 10% Temporary, and 26% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

AI Tutor - Arabic

SpaceXAI

Palo Alto, CA

Full-time, Part-time

Re-posted 20 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

RESPONSIBILITIES:

  • Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
  • Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
  • Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
  • Work with technical staff to improve annotation tools for efficient audio workflows.

BASIC QUALIFICATIONS:

  • Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.
  • Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
  • Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
  • Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
  • Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
  • Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
  • Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
  • Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
  • Commitment to developing AI that masters sophisticated multilingual audio capabilities.

PREFERRED SKILLS AND EXPERIENCE:

  • Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
  • Deep understanding and taste of what good/useful Audio data is.
  • Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
  • Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
  • Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
  • Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
  • Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
  • Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
  • Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

LOCATION AND OTHER EXPECTATIONS:

  • Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
  • For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
  • Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
  • For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
  • We are unable to provide visa sponsorship.
  • For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

COMPENSATION AND BENEFITS:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US