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Remote Linguistic Annotation Jobs in Dallas, TX (NOW HIRING)

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Remote Linguistic Annotation information

See Dallas, TX salary details

$44.5K

$57.8K

$96.5K

How much do remote linguistic annotation jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote linguistic annotation in Dallas, TX is $57,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $57,400.00 per year, depending on experience, location, and employer.

What is remote linguistic annotation?

Remote linguistic annotation is the process of labeling or tagging linguistic data—such as text, audio, or video—with relevant information like part-of-speech tags, syntactic structure, or semantic meaning, all done from a remote location. Annotators work with specialized tools to help train and evaluate language technologies, such as speech recognition systems, translation engines, and chatbots. This job typically requires strong language skills, attention to detail, and the ability to follow specific guidelines. Working remotely allows for flexibility and may involve collaboration with a distributed team.

What are the key skills and qualifications needed to thrive as a remote linguistic annotation specialist?

To thrive as a Remote Linguistic Annotation Specialist, you need a strong background in linguistics, language proficiency, and attention to detail, often supported by a relevant degree or coursework. Familiarity with annotation tools, data labeling platforms, and sometimes scripting languages like Python is typically required. Excellent communication, time management, and the ability to work independently are crucial soft skills for remote collaboration and meeting deadlines. These skills ensure high-quality, consistent data annotation that is vital for developing reliable language technologies.

What are some common challenges faced in remote linguistic annotation roles, and how can they be managed?

A common challenge in remote linguistic annotation is maintaining consistency and accuracy across large datasets, especially when working independently. Clear communication with project managers and regular participation in team meetings or feedback sessions can help address ambiguities in guidelines. Using annotation tools efficiently and documenting uncertainties ensures high-quality work. Staying organized and proactively seeking clarification on unclear tasks are key to succeeding in this remote, detail-oriented environment.

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

AspectRemote Linguistic AnnotationRemote Data Labeling Specialist
CredentialsLanguage proficiency, linguistic backgroundGeneral data labeling skills, software familiarity
Work EnvironmentHome-based, collaborative with linguists and AI teamsHome-based, often working with various data types
Industry UsageNatural language processing, AI trainingMachine learning, computer vision, AI datasets
Search & Comparison IntentUnderstanding language-specific tasksGeneral data annotation tasks

Remote Linguistic Annotation involves annotating language data such as transcriptions, part-of-speech tagging, and semantic labeling, requiring linguistic expertise. Remote Data Labeling Specialists focus on labeling images, videos, or audio for machine learning, often with less specialized language knowledge. Both roles are remote, support AI development, and are essential in training AI models, but they differ mainly in the type of data and expertise required.

What are popular job titles related to Remote Linguistic Annotation jobs in Dallas, TX?

For Remote Linguistic Annotation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Linguistic Annotation jobs in Dallas, TX look for?

The top searched job categories for Remote Linguistic Annotation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Linguistic Annotation jobs?

Cities near Dallas, TX with the most Remote Linguistic Annotation job openings:

Remote Linguistic Annotation jobs near you
Infographic showing various Remote Linguistic Annotation job openings in Dallas, TX as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $57,786 per year, or $27.8 per hour.

Russian Linguistics Specialist - AI Trainer

Mercor

Dallas, TX • On-site, Remote

$50/hr

Full-time

Posted 10 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: Russian Audio Generalist Evaluator Expert (San Francisco Bay Area)
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 10–20 hours/week

Role Responsibilities

  • Transcribe and optimize audio and video content in Russian, ensuring clarity and adherence to guidelines.
  • Produce high-quality written outputs in Russian and English, capturing nuances and dialectal variations.
  • Establish evaluation standards and develop rubrics for Russian and English audio contexts.
  • Conduct model testing, evaluate outputs, and provide feedback to improve performance in Russian tasks.
  • Support QA cycles to ensure consistency and reliability in datasets and benchmarks.
  • Collaborate with project leads to resolve ambiguities and enhance 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 Russian and professional fluency in English.
  • Familiarity with spoken Russian, regional vocabulary, and dialects.
  • Ability to transcribe and analyze Russian audio content.
  • Must be based in the San Francisco Bay Area.
  • Available to commit 10–20 hours per week.

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 Russian.
  • Familiarity with regional variations of Russian and digital language usage.
  • 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.


#hiringmercor