machine learning data annotator

TELUS Digital Middle East FZ-LLC

You will play a vital role in improving AI systems worldwide by annotating, labeling, and organizing data.Location: EMEA (Remote)Location: Other Arab Cities Remote / Work from home online jobIndustry: Information ServicesFunction: Data Entry jobJob Type: Part-time / Full-time Remote ContractWhat You ll Do<ul><li>Annotate and label text, images, and documents to train AI systems.</li><li>Collect, organize, and validate datasets for machine learning projects.</li><li>Review data quality to ensure accuracy, precision, and consistency.</li><li>Collaborate with international remote teams to deliver on project milestones.</li><li>Contribute to AI advancements by providing high-quality annotated datasets.</li></ul>

AI Annotation Specialist

Position OverviewTELUS Digital is recruiting detail-oriented freelancers for AI Data Annotation projects. This remote opportunity is open across EMEA and is especially suitable for candidates in Dubai, Abu Dhabi, Sharjah, and other Arab cities who are looking for work from home jobs in UAE for females, online data entry jobs, or flexible part time remote jobs. You will play a vital role in improving AI systems worldwide by annotating, labeling, and organizing data.Location: EMEA (Remote)Location: Other Arab Cities Remote / Work from home online jobIndustry: Information ServicesFunction: Data Entry jobJob Type: Part-time / Full-time Remote ContractWhat You ll Do<ul><li>Annotate and label text, images, and documents to train AI systems.</li><li>Collect, organize, and validate datasets for machine learning projects.</li><li>Review data quality to ensure accuracy, precision, and consistency.</li><li>Collaborate with international remote teams to deliver on project milestones.</li><li>Contribute to AI advancements by providing high-quality annotated datasets.</li></ul>Ideal Profile<ul><li>High attention to detail with ability to follow structured guidelines.</li><li>Fluent in English with reliable internet access.</li><li>Independent worker, able to manage flexible hours up to 10 hours daily.</li></ul>Why Join UsThis role is perfect for individuals looking for part time jobs in Dubai, data entry jobs in Abu Dhabi, online data entry jobs in Sharjah, or remote work from home jobs in UAE for females. With competitive freelance pay, flexible scheduling, and international exposure, it is an excellent way to earn income while working from home.

Remote Data Entry AI Annotation Specialist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities.
 
 
We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. 
 
Key job responsibilities 
 
<ul><li>Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
</li><li>Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
</li><li>Utilize Python and SQL to automate and optimize data processing workflows
</li><li>Interpret technical documentation to implement solutions accurately
</li><li>Dive deep into issues and implement solutions independently
</li><li>Identify and report tooling bugs and suggest improvements
</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information
</li></ul> 
About the team 
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li><li>Proven experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Familiarity with critical concepts such as Python, scripting language, data structures etc.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li><li>Experience managing stakeholder relationships across departments.</li><li>Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Agentic AI Teacher, AGI DS

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

Hudhud Maps

<div>As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.
Key Responsibilities:
<ul><li>Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.</li><li>
Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.</li><li>
Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.</li><li>
Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.</li><li>
Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.</li><li>
Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.</li></ul>
Qualifications:
<ul><li>Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.</li><li>
 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.</li><li>
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.</li><li>
Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.</li><li>
Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.</li><li>
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>
Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.</li></ul></div>

Senior Machine Learning Engineer

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