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

Vezloo

<div>
 We&rsquo;re looking for detail-oriented individuals to join our
 
 Video &amp; Image Annotation
 
 team. Your role will be to accurately tag and label objects, actions, or scenes within video and image files to support the development of AI models.
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 Annotate videos and images using internal tools
 </li>
 <li>
 Tag people, objects, movements, or scenes based on project guidelines
 </li>
 <li>
 Ensure high precision and consistency in labeling
 </li>
 <li>
 Meet daily productivity targets
 </li>
 <li>
 Communicate with team leads to clarify requirements or report issues
 
 
 
 </li>
 </ul>
 
 REQUIREMENTS
 
 <ul>
 <li>
 Strong attention to detail
 </li>
 <li>
 Ability to follow strict guidelines and instructions
 </li>
 <li>
 Basic computer skills and familiarity with annotation platforms
 </li>
 <li>
 Reliable internet connection and a computer with good performance
 </li>
 <li>
 Previous annotation experience is a plus but not required
 
 
 
 </li>
 </ul>
 
 BENEFITS
 
 <ul>
 <li>
 Fully remote work
 </li>
 <li>
 Flexible hours
 </li>
 <li>
 Training provided
 </li>
 <li>
 Performance bonuses based on accuracy and output
 </li>
 <li>
 Opportunity to work on global AI development projects
 
 
 </li>
 </ul>
</div>

Video & Image Annotation Specialist

Lionbridge

<div><h3 class="jobSectionHeader">Transcriber &ndash; Audio &amp; Annotation Projects</h3>

We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul><li>Transcribe audio files into clear, well-structured text</li>
<li>Work with a variety of audio types, including:
<ul><li>Single-speaker recordings</li>
<li>Podcasts</li>
<li>Multi-speaker conversations</li>
</ul></li><li>Identify speakers where applicable</li>
<li>Ensure high accuracy and attention to detail</li>
<li>Follow project-specific transcription and formatting guidelines</li>
</ul><h4 class="jobSectionHeader">Task Types</h4>

1. Transcription Tasks
<ul>
<li>Convert audio content into written text</li>
<li>Maintain consistency in formatting and structure</li>
<li>Ensure clarity and completeness of transcriptions</li>
</ul>
2. Annotation Tasks (Project-dependent)
<ul>
<li>Label or tag segments of text or audio</li>
<li>Categorize content based on provided guidelines</li>
<li>Support data quality and training datasets</li>
</ul><h4 class="jobSectionHeader">Requirements</h4>
<ul><li>Very high proficiency in Arabic</li>
<li>Good written English</li>
<li>Strong listening and comprehension skills</li>
<li>Ability to follow detailed instructions and guidelines</li>
<li>Previous transcription or annotation experience is a plus, but not required</li>
</ul><h4 class="jobSectionHeader">Availability</h4>
<ul><li>Minimum 4 hours of availability required during scheduled transcription shifts</li>
</ul><h4 class="jobSectionHeader">Project Details</h4>
<ul><li>Flexible working hours &ndash; complete tasks at your own pace within project timelines</li>
<li>Tasks are completed via a secure online platform</li>
<li>Full guidelines and instructions are provided for each task</li>
<li>Ongoing support is available to ensure quality and consistency</li>
<li>Multiple similar projects are planned throughout 2026, offering potential for continued work</li></ul></div>

Arabic Transcriber

YO IT CONSULTING

<div>Location: Remote 
Job Type: Contract Role
Description:
 Join a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success. Your Profile
<ul><li>Bachelor&rsquo;s degree (any field; preference for Technology, Engineering, or Data-related disciplines).</li>
<li>6 months &ndash; 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).</li>
<li>Strong attention to detail and ability to follow complex annotation guidelines.</li>
<li>Basic understanding of document structures (text blocks, tables, forms, figures, etc.).</li>
<li>Ability to interpret and apply rules related to bounding boxes, classification, and reading order</li>
<li>Comfortable working with repetitive tasks while maintaining high accuracy.</li>
<li>Familiarity with annotation tools or platforms is a plus.</li>
</ul>Key Responsibilities:
<ul><li>Annotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.</li>
<li>Classify annotated elements according to project guidelines.</li>
<li>Ensure bounding boxes are tight, accurate, and follow annotation standards.</li>
<li>Maintain correct reading order and logical structure across document elements.</li>
<li>Handle complex layouts including multi-column text, forms, tables, and rotated pages.</li>
<li>Follow detailed annotation instructions and apply rules consistently across all tasks.</li>
<li>Identify and flag unclear cases or guideline gaps to supervisors.</li>
<li>Maintain confidentiality and adhere strictly to data security policies.</li></ul></div>

Data Labeling Expert - Remote

YO IT Consulting

<div>
 
 Location:
 
 Remote
 
 
 
 Job Type:
 
 Contract Role
 
 
 
 Description
 
 
 
 Join a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success. Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (any field; preference for Technology, Engineering, or Data-related disciplines).
 </li>
 <li>
 6 months - 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).
 </li>
 <li>
 Strong attention to detail and ability to follow complex annotation guidelines.
 </li>
 <li>
 Basic understanding of document structures (text blocks, tables, forms, figures, etc.).
 </li>
 <li>
 Ability to interpret and apply rules related to bounding boxes, classification, and reading order
 </li>
 <li>
 Comfortable working with repetitive tasks while maintaining high accuracy.
 </li>
 <li>
 Familiarity with annotation tools or platforms is a plus.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Annotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.
 </li>
 <li>
 Classify annotated elements according to project guidelines.
 </li>
 <li>
 Ensure bounding boxes are tight, accurate, and follow annotation standards.
 </li>
 <li>
 Maintain correct reading order and logical structure across document elements.
 </li>
 <li>
 Handle complex layouts including multi-column text, forms, tables, and rotated pages.
 </li>
 <li>
 Follow detailed annotation instructions and apply rules consistently across all tasks.
 </li>
 <li>
 Identify and flag unclear cases or guideline gaps to supervisors.
 </li>
 <li>
 Maintain confidentiality and adhere strictly to data security policies.
 </li>
 </ul>
</div>

Flexton Inc.

<div>
 
 
 Job Title:
 
 AI Linguist
 
 
 
 Location
 
 : Hybrid in Mountain View (up to 2days/week, Tu-Th options)
 
 
 
 Duration: 8
 
 Months Contract
 
 
 
 
 
 
 About the Role:
 
 
 
 
 We are seeking an AI Linguist to join a diverse and interdisciplinary team focused on AI quality, evaluation, and annotation. In this role, you will contribute to the development of scalable human judgment and annotation pipelines that support the training, evaluation, and continuous improvement of advanced AI models.
 
 
 
 
 
 
 
 This position offers the opportunity to collaborate closely with AI Engineers, Linguists, and cross-functional stakeholders to improve content understanding, recommendation systems, relevance models, and overall user experience through high-quality linguistic analysis and annotation workflows. The ideal candidate combines strong linguistic expertise with analytical thinking, process improvement capabilities, and an interest in emerging AI technologies and Generative AI workflows.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and execute solutions for AI quality, evaluation, and annotation initiatives
 </li>
 <li>
 Develop scalable and high-quality human judgment workflows using Generative AI prompting, human input, and hybrid approaches
 </li>
 <li>
 Conduct data-driven analysis and provide linguistic insights to support project development
 </li>
 <li>
 Collaborate in working groups focused on building high-quality annotation and evaluation pipelines
 </li>
 <li>
 Create and maintain documentation, guidelines, and standard operating procedures
 </li>
 <li>
 Research and recommend new methodologies for process and product improvements
 </li>
 <li>
 Improve productivity, quality, and operational efficiency through workflow optimization and process standardization.
 </li>
 </ul>
 
 
 
 
 
 Must Have:
 
 
 <ul>
 <li>
 2+ years of relevant industry experience.
 </li>
 <li>
 2+ years of experience working with large-scale, end-to-end human judgment workflows and tools for AI model training/evaluation.
 </li>
 <li>
 2+ years of experience translating linguistic data requirements into clear instructions, guidelines, and workflow designs.
 </li>
 <li>
 1+ year of experience programming in Python or another scripting language.
 </li>
 <li>
 Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computational Linguistics, Language Technologies, Linguistics, or a related field.
 </li>
 <li>
 Experience with complex and scalable data annotation and evaluation systems.
 </li>
 <li>
 Experience supporting human judgment and annotation projects.
 </li>
 <li>
 Familiarity with programming languages/tools used in the data annotation space.
 </li>
 <li>
 Interest in learning new technologies and technical concepts, particularly in AI and Generative AI.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong problem-solving abilities
 </li>
 <li>
 Conceptual and analytical thinking
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 Detail-oriented mindset with a focus on quality and process improvement
 </li>
 <li>
 Ability to work effectively in cross-functional and interdisciplinary teams
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computational Linguistics, Language Technologies, Linguistics, or a related field.
 </li>
 </ul>
 
 
</div>

AI Linguist

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