data annotation specialist

TELUS Digital Middle East FZ-LLC

What You ll Do<ul><li>Annotate, label, and categorize text, images, and documents to power AI systems.</li><li>Collect and structure high-quality datasets for machine learning training.</li><li>Review and validate data to ensure consistency and accuracy.</li><li>Collaborate with global teams to achieve project targets.</li><li>Support the improvement of AI models through structured data processing.</li></ul>Why Join UsThis is a flexible remote job that allows you to work up to 10 hours daily (40 hours weekly) on your own schedule. It s ideal for those searching for data entry jobs in Dubai, part time jobs in UAE, online data entry jobs in Sharjah or Abu Dhabi, or work from home jobs in UAE for females. Competitive freelance pay, global exposure, and the chance to contribute to AI innovation make this an attractive opportunity for students, professionals, and part time job seekers.

AI Data Annotation Specialist

Stealth Company

Video Data Annotation Specialist &ndash; Forensic AnalysisLocation: India (Remote ) Experience Level: 0-1 year Department: Data Ops TeamAbout the RoleWe are seeking an experienced Video Data Annotation Specialist with strong expertise in forensic video analysis workflows. The role involves detailed annotation and metadata tagging of sensitive forensic video datasets involving facial regions, actions, identities, tampering indicators, and other evidentiary details.The ideal candidate will have experience working with AI-driven video investigation projects, along with a strong command of annotation tooling, QA processes, and data governance standards.Key Responsibilities<ul><li>Perform frame-level and sequence-level annotation for forensic video datasets, including:</li><li>Face and person tracking</li><li>Object and vehicle labeling</li><li>Action tagging</li><li>Scene change detection and event segmentation</li><li>Identify and tag tampering cues, such as missing frames, splices, or compression artifacts.</li><li>Configure and manage annotation tools and pipelines (CVAT, Supervisely, V7, or internal forensic labeling systems).</li><li>Maintain strict data confidentiality and chain-of-custody documentation.</li><li>Define annotation guidelines specific to forensic evidence handling.</li><li>Conduct quality audits and maintain &gt;95% accuracy and inter-annotator consistency.</li><li>Collaborate with forensic analysts and AI researchers to refine model training datasets.</li><li>Generate summary reports of annotated findings for internal documentation and validation.</li></ul>Requirements<ul><li>Prior exposure to forensic or investigative video datasets (law enforcement, cybercrime, or lab projects).</li><li>Proficient in CVAT, Label Studio, Supervisely, V7 Darwin, or equivalent tools.</li><li>Understanding of video formats, compression, metadata, and temporal labeling.</li><li>Familiarity with forensic media standards (e.g., chain of custody, evidence preservation).</li><li>Basic scripting knowledge in Python, OpenCV, or FFmpeg for preprocessing and frame extraction.</li><li>Excellent attention to visual and temporal details; high data accuracy tolerance.</li><li>Ability to work under confidentiality protocols and handle sensitive evidence.</li></ul>Preferred Qualifications<ul><li>Experience in face or gait analysis datasets, or deepfake/tampering detection annotation.</li><li>Exposure to AI-based forensic tools or ML dataset preparation pipelines.</li><li>Prior work in a government forensic lab, defense, or digital investigation project.</li><li>Knowledge of image forensics metrics (e.g., PRNU, ELA, or compression-based indicators).</li></ul>Job Type: Full-timePay: &#8377;170,488.09 - &#8377;983,085.40 per yearWork Location: In person

Video Data Annotation - Intern

EMP SKILL & ITECH CARE PVT LTD

<ul><li>Annotate image data using specialized software to identify and label objects, regions, and other features.</li><li>Work with diverse annotation types based on project needs, such as:</li><li>Bounding boxes: Drawing rectangles around objects.</li><li>Polygonal segmentation: Precisely outlining irregularly shaped objects.</li><li>Semantic segmentation: Labeling every pixel in an image with a specific class.</li><li>Key-point and landmark annotation: Placing dots on specific features, like facial landmarks or joints.</li><li>Maintain data quality and consistency by following strict annotation protocols and guidelines.</li><li>Verify and review existing annotations for accuracy and provide feedback for improvements.</li><li>Manage daily annotation quotas and meet project deadlines.</li><li>Report any issues or inconsistencies in the data or software to the project lead.</li><li>Safeguard sensitive information and maintain data confidentiality.</li><li>Work closely with data scientists and machine learning engineers to create high-quality training datasets.</li></ul>Job Type: Full-timePay: &#8377;9,000.00 - &#8377;12,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

Image Annotator/ Video Annotator

Facultyzone Talent Acquisition

Hiring :- Content Creator &amp; Faculty &ndash; Data Annotations &amp; Labelling (M.Sc. Data Science &amp; AI)Institution :- BITS Pilani DigitalProgram :- M.Sc. Data Science &amp; AIDuration :- 20 WeeksMode :- OnlineExperience :- 4+ Years (Ph.D. / Industry Expertise)Employment Type :- On Payroll with FZTARole Overview :-We&rsquo;re hiring an expert Content Developer &amp; Faculty specializing in Data Annotation &amp; Labelling for real-world AI &amp; ML model training. The faculty will design academic content and deliver live online sessions to postgraduate learners of BITS Pilani&rsquo;s M.Sc. Data Science &amp; AI program.ResponsibilitiesDevelop course content for :-* Dataset preparation &amp; structuring* Annotation techniques for Computer Vision &amp; NLP* Quality control in dataset pipelines* Labeling tools (CVAT, Labelbox, Supervisely, etc.)Conduct live online classes &amp; student supportCreate assignments, case studies &amp; real-time projectsDesign industry-oriented hands-on labsRequirementsPh.D. or strong academic/industry background in Data Science or AI4+ years of teaching / industry experienceExpertise in Data Annotation &amp; Labelling workflowsFamiliarity with dataset lifecycle &amp; ML training pipelinesExcellent communication &amp; online teaching skillsApply Now :- https://forms.gle/cVDRwC4TEK5Kv2Tc9Contact :- 8709400170Job Type: Contractual / Temporary Contract length: 20 weeksWork Location: Remote

Content Creator & Faculty – Data Annotations & Labelling

Judah Code Technologies

About the Role:We&rsquo;re looking for a French Handwritten Specialist to join our non-IT operations team. The role involves reading, interpreting, and digitizing handwritten French documents with accuracy and consistency.This position is ideal for candidates with strong language skills and a keen eye for detail.Key Responsibilities:&rarr; Read and interpret handwritten French content accurately &rarr; Convert handwritten data into digital formats as per project guidelines &rarr; Ensure high levels of precision and consistency across documents &rarr; Conduct quality checks to maintain error-free outputs &rarr; Collaborate with project coordinators for updates and feedbackRequired Skills:&rarr; Strong proficiency in reading and understanding French (handwritten and printed) &rarr; Excellent typing and transcription skills &rarr; Attention to detail and ability to maintain accuracy under deadlines &rarr; Basic computer and data entry knowledge &rarr; Prior experience in data annotation, handwritten data processing, or translation is a plusQualification:&rarr; Any degree with French language proficiencyJob Types: Full-time, FresherPay: From &#8377;8,000.00 per monthWork Location: In person

DEO (Data Entry Operator)

simultaneous geographical reality labs private limited

<ul><li>Perform data labelling and annotation tasks across multiple data types (images, text, audio, video).</li><li>Assist in Python-based data analysis and processing projects.</li><li>Contribute to the design, improvement, and documentation of data-related workflows.</li><li>Maintain data accuracy, consistency, and integrity throughout all stages of processing.</li><li>Collaborate closely with cross-functional teams to support data-driven initiatives.</li></ul>Job Types: Full-time, PermanentPay: &#8377;9,904.72 - &#8377;12,000.00 per monthWork Location: In person

Data Associate

QNAYDS LLP

We are looking for an experienced AI Trainer with at least 3 years of teaching experience to train and improve AI systems. The ideal candidate will combine educational expertise with a strong understanding of AI and data annotation to help develop intelligent learning models. Key Responsibilities: Train AI systems by providing high-quality labeled data and feedback. Evaluate AI-generated outputs for accuracy, clarity, and relevance. Collaborate with AI developers and data scientists to enhance model performance. Apply educational and teaching experience to improve AI learning algorithms. Identify errors, inconsistencies, and gaps in AI responses and provide corrections. Stay updated with AI trends and tools relevant to education and learning systems. Required Skills &amp; Qualifications: Minimum 3 years of teaching experience in schools, colleges, or training institutes. Strong written and verbal communication skills. Knowledge of AI, machine learning, or natural language processing (NLP) concepts. High attention to detail, critical thinking, and analytical skills. Ability to work independently and in a team. Experience with data annotation, content evaluation, or educational content creation is a plus. Experience: 1 year/ 5 year Teaching field experience is plus Mode: Offline/ Online Location: Malappuram Interested candidates please share your resume hr.qnayds@gmail.com Note: Malappuram based Trainers preferJob Type: Contract Contract length: 3 monthsPay: &#8377;15,000.00 - &#8377;40,000.00 per monthExperience:<ul><li>Teaching: 1 year (Required)</li></ul>Location:<ul><li>Malappuram, Kerala (Required)</li></ul>Work Location: In person

Ai trainers

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