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Data Annotation Research Jobs in Utah (NOW HIRING)

Sorenson

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Prior experience with annotation tools such as ELAN, CVAT, or comparable platforms. * Experience working with AI/ML teams, technology companies, or research groups that produce sign language data.

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Data Annotation Research information

What qualifications do I need for data annotation?

Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.

What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

Does data annotation actually pay?

Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.

How hard is it to get hired by data annotation?

Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.

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

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a Data Annotation Researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
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Data Annotation Research jobs near you
Senior Sign Language Specialist

Senior Sign Language Specialist

Sorenson

Salt Lake City, UT • On-site, Remote

$66K/yr

Full-time

Posted yesterday

Sorenson Communications rating

7.1

Company rating: 7.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

220th of 437 rated business services

Job description

Come be a part of our mission and make a meaningful and positive impact with the industry leading provider of language services for the Deaf and hard-of-hearing!

Full time Benefits

  • Paid Vacation Time and Paid Sick Time and Paid Holidays
  • 401k 6% match with immediate vesting
  • Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision)
    • TeleDoc
    • HSA company match
    • 3 Medical plan options including a Low Deductible PPO Medical Plan Offering
  • Employee Assistance Program
  • Engaged Employee Resource Groups
  • Outstanding Learning and Career Development Opportunities

Pay Range: Actual pay may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for incentive compensation.

* Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role *

Essential Duties and Responsibilities

  • Maintain and expand Sorenson's ASL sign dictionary — author new entries, review and update existing entries, document regional and register variants, and resolve disputed entries with the Lead.
  • Annotate ASL video using advanced gloss conventions, including classifier predicates (locative, instrument, semantic, body-part, and element classifiers), non-manual markers, role shift, and prosody.
  • Partner with AI/ML engineering teams to clarify linguistic requirements for training data, review model outputs for linguistic accuracy, and provide feedback on edge cases.
  • Review text-to-sign avatar output for ASL grammatical accuracy, naturalness, and cultural appropriateness; document issues using standardized rubrics.
  • Lead weekly linguistic calibration sessions; own gloss and classifier convention documentation and decision logs.
  • Mentor Sign Language Specialists during cross-functional rotations.
  • Maintain accurate records of annotation work, decisions, and edge cases in team tooling and documentation systems.

Supervisory Responsibility

This position has no supervisory responsibilities.

Travel Requirements

Travel Requirements: Less than 25%

Education

Minimum of 4 Year / Bachelors Degree In ASL Linguistics, Deaf Studies, ASL Studies, Interpreting, Deaf Education, or related fields.

Preferred Graduate Degree In ASL Linguistics, Linguistics, Deaf Studies, Interpreting, Deaf Education, or a related field.

Experience

3 Years of substantive professional ASL work (annotation, linguistics, interpreting, Deaf education, or comparable).

Knowledge, Skills, and Abilities

  • Required
  • Bilingual in ASL in English, with the ability to produce and quality-assure professional English transcriptions from ASL source content.
  • Deep working knowledge of ASL linguistics — gloss conventions, non-manual markers, classifier predicates, role shift, and ASL grammar.
  • Active and informed participant in the Deaf community, with awareness of regional and generational ASL variation.
  • Experience producing or annotating ASL content for instructional, research, interpreting, or media purposes.
  • Strong written English for documentation, task specifications, and cross-team collaboration.
  • Comfortable working with computer-based annotation tools and learning new software.
  • Attention to detail, consistency, and a willingness to follow and improve standardized conventions.
  • Ability to work both independently and collaboratively with peer Specialists, the Lead, and engineering teams.
  • Proficiency with standard productivity and collaboration tools (Microsoft Office, Confluence, JIRA, or equivalent).
  • Positive attitude, team player, strong interpersonal communication skills, and able to work across research, engineering, and business departments.
  • Preferred
  • American Sign Language as a primary or native language.
  • Prior experience with annotation tools such as ELAN, CVAT, or comparable platforms.
  • Experience working with AI/ML teams, technology companies, or research groups that produce sign language data.
  • Experience reviewing or evaluating signed avatars, animations, or generated ASL content.
  • Experience writing or reviewing annotation guidelines, style guides, or convention documentation.
  • Familiarity with sign language corpora, lexicography, or dictionary projects.
  • Experience mentoring or training other annotators or linguists.
  • Familiarity with PSE, SEE, and other North American signing varieties.

Working Conditions and Physical Requirements

  • Able to travel up to 5% of the time.
  • Able to sit/stand for long periods of time in an office or remote work environment.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, and related tools.
  • Regular and predictable attendance required.
  • Positive attitude, team player, strong interpersonal communication skills, and able to work across research, engineering, and business departments.

Apply today! www.sorenson.com/company/careers/

Equal Employment Opportunity:

Sorenson Communications is an EOE, Disability/Age Employer.

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