data annotation specialist

Smart Eye

<div>
 Smart Eye is the global leader in Human Insight AI, technology that understands, supports and predicts human behavior in complex environments. Together with our subsidiaries Affectiva and iMotions, we are bridging the gap between humans and machines for a safe and sustainable future.
 
 
 Today, our technology is embedded in next-generation vehicles, leading the way towards human-centric mobility through Driver Monitoring Systems and Interior Sensing solutions. Our Research Instruments offer unparalleled insights into automotive, aviation, assistive technology, behavioral science and many more fields.
 
 
 Our subsidiary Affectiva is humanizing technology by pioneering Emotion AI, helping companies gain a deeper understanding of how consumers engage with their content, products and services, in automotive, media &amp; entertainment, market research and beyond.
 
 
 Our subsidiary iMotions provides the world&rsquo;s leading biosensor software platform, that synchronizes data streams in real time from multiple sensors.
 
 
 Smart Eye was founded in 1999 and is headquartered in Sweden with offices in the US, UK, Germany, Denmark, Egypt, Japan, Singapore and China. A publicly traded company since 2016, our customers include NASA, Nissan, Boeing, Honeywell, Volvo, GM, BMW, Geely, Harvard University, over 1,300 research organizations around the world, 70% of the world&rsquo;s largest advertisers and 28% of the Fortune Global 500 companies.
 
 
 Visit
 
 www.smarteye.ai
 
 for more information.
 
 
 We&rsquo;re looking for a detail-oriented and self-driven Data Annotation Specialist to join our team. In this role, you&rsquo;ll play a key part in training AI and machine learning models by precisely labeling and annotating data across multiple formats, including video, images, and audio. The ideal candidate is quality-focused, consistent, and adaptable to shifting guidelines and tools. You&rsquo;ll also have the chance to help improve our processes, take part in proof-of-concept projects, and work closely with cross-functional teams to boost the accuracy and efficiency of our annotation pipelines.
 
 
 
 About The Position
 
 
 
 As a Data Annotation Specialist, you will be responsible for accurately labeling and annotating various types of data&mdash;including images, videos, audio, and text&mdash;using specialized tools to tag objects, actions, or speech patterns. You&rsquo;ll ensure data quality by adhering to strict accuracy and consistency standards, following detailed annotation guidelines, and adapting to changes as needed. This role involves working across multiple data modalities and quickly adjusting to new tools or evolving processes. You&rsquo;ll also play a role in process improvement by identifying inefficiencies, suggesting optimizations, and participating in quality assurance and validation efforts
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Annotate and analyze videos, images, or audio using the provided labels by internal tools and guidelines.
 </li>
 <li>
 Maintain a high level of accuracy and attention to detail while meeting productivity targets.
 </li>
 <li>
 Understand and follow complex annotation guidelines and adapt to evolving labeling instructions.
 </li>
 <li>
 Other tasks related to annotation when needed like providing feedback on tool functionality/bugs and labeling guidelines to help improve efficiency and accuracy. Participate in proof-of-concept (PoC) initiatives and other tasks aimed at enhancing our workflows and overall processes.
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Communication Skills (especially for giving feedback on tools and guidelines)
 </li>
 <li>
 Collaboration (working with teams on PoCs and process improvements)
 </li>
 <li>
 Time Management
 </li>
 <li>
 Accountability and Reliability
 </li>
 <li>
 Adaptability (Quickly adjusting to new tools, updated guidelines, or changing project requirements)
 </li>
 <li>
 Problem Solving
 </li>
 <li>
 Maintaining consistency and accuracy over long periods of repetitive tasks without losing concentration.
 
 
 </li>
 </ul>
 Cognitive &amp; Analytical Skills
 
 
 <ul>
 <li>
 Attention to Detail
 </li>
 <li>
 Pattern Recognition
 </li>
 <li>
 Analytical Thinking
 </li>
 <li>
 Adaptability to Changing Guidelines
 </li>
 <li>
 Following Complex Instructions
 </li>
 </ul>
</div>

Data Annotation Specialist

YO IT Consulting

<div>
 Role Overview
 
 
 Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Synthesize information from large volumes of data
 </li>
 <li>
 Annotate and categorize text, images, and other data according to detailed guidelines
 </li>
 <li>
 Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
 </li>
 <li>
 Flag inconsistencies, ambiguities, or errors in datasets
 </li>
 <li>
 Contribute to the improvement of AI systems through consistent annotation work
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 Ability to synthesize complex or high-volume information into structured formats
 </li>
 <li>
 Strong critical reasoning, reading comprehension, and written communication skills
 </li>
 <li>
 Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
 
 
 </li>
 </ul>
 More About the Opportunity
 
 
 <ul>
 <li>
 Expected commitment: ~20 hours/week
 
 
 </li>
 </ul>
 Application Process
 
 
 <ul>
 <li>
 Submit your resume to begin
 </li>
 <li>
 Complete a Training Assessment
 </li>
 <li>
 Typical response time: 1-2 business days
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
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 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
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 Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
 </li>
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 Payments are weekly on Stripe or Wise, based on services rendered.
 </li>
 </ul>
</div>

Ai Trainer/Data Annotator - Remote

Arkana Laboratories

<div><div>Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most.

This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field.

Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong.</div>
About the position: As the Clinical Data Quality Specialist, you will ensure the integrity and clinical validity of laboratory data while supporting AI/ML initiatives through expert annotation and data curation. This role represents a fundamental transformation from traditional documentation functions to modern data operations, requiring individuals who embrace change, demonstrate initiative, and are committed to continuous learning. This position bridges clinical knowledge and data science, transforming healthcare data into high-quality assets that power analytics, research, and artificial intelligence applications. Success requires adaptability, technical curiosity, and the ability to work independently in an evolving environment.

What you'll do:

Data quality and validation
<ul>
<li>Review and audit laboratory data for accuracy, completeness, and clinical validity
</li>
<li>Identify and resolve data inconsistencies and quality issues
</li>
<li>Validate automated processes and ensure alignment with quality standards
</li>
<li>Support development of data quality metrics and tracking tools
</li>
</ul>Clinical data annotation and curation
<ul>
<li>Annotate and categorize clinical data to support machine learning models
</li>
<li>Apply medical terminology and clinical knowledge to ensure accuracy
</li>
<li>Maintain consistency and meet established accuracy standards
</li>
<li>Contribute to data dictionaries and documentation standards
</li>
</ul>Automation and process improvement
<ul>
<li>Monitor automated workflows and identify opportunities for improvement
</li>
<li>Support testing and validation of new systems and tools
</li>
<li>Recommend enhancements to improve efficiency and data quality
</li>
</ul>Collaboration and communication
<ul>
<li>Partner with data science, IT, and laboratory teams on cross-functional projects
</li>
<li>Provide clinical context to support technical initiatives
</li>
<li>Participate in team knowledge sharing and process development
</li>
</ul>Continuous development
<ul>
<li>Complete training in data quality, systems, and clinical informatics
</li>
<li>Stay current with trends in healthcare data and technology
</li>
<li>Take initiative in learning new tools and expanding skill sets
</li>
<li>Perform other duties as assigned
</li>
</ul>What you bring:
<ul>
<li>Strong attention to detail and analytical thinking
</li>
<li>Ability to work independently and take initiative
</li>
<li>Comfort working in a changing and evolving environment
</li>
<li>Strong communication and collaboration skills
</li>
<li>Curiosity and interest in data, technology, and process improvement
</li>
</ul>Qualifications
<ul>
<li>High school diploma or GED required; associate degree or higher preferred
</li>
<li>Two or more years of experience in healthcare documentation, medical records, laboratory operations, or a related field
</li>
<li>Experience with EHR, LIS, or similar systems
</li>
<li>Proficiency in Microsoft Excel and general computer applications
</li>
<li>Knowledge of medical terminology and healthcare workflows
</li>
<li>Understanding of HIPAA and data confidentiality requirements
</li>
</ul>Preferred qualifications
<ul>
<li>Certification such as RHIT, RHIA, or CCA, or willingness to pursue
</li>
<li>Exposure to data analysis tools, SQL, or reporting platforms
</li>
<li>Experience with quality audits or data validation processes
</li>
</ul>Schedule: Monday-Friday 8am-5pm<div>
What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings.

Specifically, we offer the following benefits to full-time employees:
<ul>
<li>Competitive salary</li>
<li>Generous paid time off and Paid Holidays</li>
<li>Minimal cost health insurance for you and affordable options for your family</li>
<li>401(k) with immediate eligibility and match</li>
<li>Company-paid life insurance</li>
<li>Company-paid long term disability coverage</li>
<li>Affordable vision and dental plans</li>
<li>Flexible Spending Account or Health Savings Account availability</li>
<li>Wellness plan and complimentary yoga classes</li>
<li>Monthly in-office massages and employer-sponsored lunches</li>
</ul>
Please see Careers for further information.</div></div>

Clinical Data Quality Specialist

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10000 data annotation specialist jobs Near Me

Data Annotation Specialist

Ai Trainer/Data Annotator - Remote

Clinical Data Quality Specialist

Ai Trainer/Data Annotator - Remote

Ai Trainer/Data Annotator - Remote

Ai Trainer/Data Annotator - Remote

Ai Trainer/Data Annotator - Remote