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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.

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

Familiarity with annotation tools such as ELAN, CVAT, or similar platforms. * Experience working with AI/ML teams, technology companies, or research groups that generate sign language data.

All JobsData Annotation Research JobsData Annotation Research Jobs in Utah

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
ASL Technology Research Internship - ASL Linguistics (6 months)

ASL Technology Research Internship - ASL Linguistics (6 months)

CaptionCall

Salt Lake City, UT

$25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

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 *

Job Summary

We are looking for an intern with ASL linguistics knowledge and a technical background to join our generation team for a 6-month internship. The intern will work on glossing and annotating ASL Classifier (CL) video data to support our English-to-Gloss translation model and avatar signing pipeline.

Key areas of work include annotation schema design, high-level feature labeling, minimal pair analysis, and helping design evaluations (such as A/B testing) for CL outputs. The intern will also design a CL inventory to be added to our dictionary, with a demo at the end of the internship. This is a hands-on role that bridges ASL linguistics and technology. Strong candidates will be native-level ASL signers with interest in sign language technology and comfort with data annotation or analysis tools.

Salary Range: $20-$30/hr DOE

Essential Duties and Responsibilities

  • Native ASL signing skills
  • Background in linguistics, CS, data science, or a combination
  • Familiarity with ASL classifier systems is a plus.
  • Interest in sign language generation technology
  • Comfortable with video annotation tools and/or basic data analysis

Supervisory Responsibility

This position has no supervisory responsibilities.

Travel Requirements

Travel Requirements:  Less than 25%

Education

Minimum/Preferred   Education         Description

Minimum          High School Diploma or GED             

Preferred           Other   Some college

Experience

Minimum Years of Experience   

Knowledge, Skills, and Abilities

  • Ability to work as part of a team.
  • Oral and written communication skills.
  • Attentiveness.
  • Ability to understand and follow directions.

Working Conditions and Physical Requirements

  • Ability to sit and/or stand at a desk and work with a computer for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, tools, and to handle other computer components.
  • Regular and predictable attendance required.

Company Summary

Our Mission…Harnessing the power of language, we connect diverse people and enrich the human experience.

 Our Vision…To provide global language services that expand opportunities, nurture belonging, and empower the world to connect beyond words.

As one of the world’s leading language services providers, Sorenson combines patented technology with human-centric solutions. We strive to increase accessibility and inclusion through communication solutions for all: call captioning and video relay services, over-video and in-person sign language and spoken language interpreting, translation, real-time captioning, and post-production language services. Sorenson’s impact vision and plan extends to enhancing generational wealth and inclusive workplaces for our employees and the communities we serve.

We achieve great things together working “The Sorenson Way” with our employee values: Customer First, Can-Do Attitude, Collective Action, Growth Mindset, Ownership, and Connect Direct.

Equal Employment Opportunity:
Sorenson Communications is an Equal Opportunity, Affirmative Action Employer.

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