data annotator

Localization Academy

<div>
 In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Arabic localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation-model labs. Your work directly helps improve the world&rsquo;s premier AI models.
 
 
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
 </li>
 <li>
 Native or near-native Arabic proficiency and strong command of the locale conventions for India.
 </li>
 <li>
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
 </li>
 <li>
 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
 </li>
 <li>
 Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
 </li>
 <li>
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
 </li>
 <li>
 Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
 </li>
 <li>
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 </li>
 <li>
 Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
 </li>
 <li>
 Previous experience with AI data training / annotation / evaluation is preferred.
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model&rsquo;s accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 </li>
 </ul>
</div>

Arabic Data Annotator

Cowlar Design Studio Pvt Ltd

Cowlar is a venture-funded, Y-combinator start-up delivering world-class engineering solutions in Enterprise software, Internet of things (IoT), Machine Learning, Robotics, Industry 4.0, and associated fields. Our exceptional team uses engineering best practices and a first-principles approach to solving complex problems and deliver enterprise-scale projects at startup speeds.With a culture that empowers big ideas and a focus on making our people the best version of themselves through continuous upskilling and enablement, we believe this is a place where exceptional talent comes together to make magic happen across multiple verticals. We&rsquo;re looking for like-minded people who understand our mission and are willing to become part of the journey. Cowlar (Pvt) Ltd is a subsidiary of Cowlar Inc. (USA).We&rsquo;re looking for people who are not afraid of learning something new, who can read docs, watch tutorials and teach themselves quickly. You must be familiar with agile development and reporting requirements. The ideal candidate should be self-driven and motivated. We want to work with people who realize their own potential and can execute quickly. We do not compromise on quality and your role should be to maintain the already excellent software development best practices being used at our organization.Job SummaryYour role will be to provide support to the technical and business teams of Cowlar Design Studio to perform their tasks efficiently. One of those key roles is data annotation, where you will help with our AI development process as a vital component.As a vital component of our workflow, you will need:<ul><li>A strong sense of ownership for your tasks</li><li>Attention to detail for labeling and categorizing data</li><li>Ability to follow specific guidelines with accuracy and consistency</li></ul>We are seeking detail-oriented Data Annotators to review and tag images, text, audio, or video for AI and machine learning models. Your responsibilities will branch into:<ul><li>Data analysis</li><li>Quality assurance</li><li>Operations</li><li>Additional specialized areas</li></ul>Growth Roadmap: You will enter our structured training program where your compensation directly reflects your skillset. To see a list of skills that we expect please view the Additional Responsibilities section. You will be provided with time to learn as well as guidance to rapidly evolve your skillset. As you learn more, your salary will increase accordingly. This position offers pathways for growth and skill development beyond core annotation duties.You will work alongside talented professionals at the top of their game, gaining immense learning opportunities and exposure to a variety of potential responsibilities. Through these experiences and mentorship, you will develop into a complete professional.Key ResponsibilitiesData AnnotationAs a Data Annotator at Cowlar Design Studio, you will provide critical support to both our technical engineering teams and non-technical business teams. Your attention to detail and ability to follow instructions precisely will be essential to our success.<ul><li>Accurately label and annotate data following detailed guidelines</li><li>Review and verify annotations to maintain high-quality standards</li><li>Work with annotation leads and AI/ML team to improve annotation quality</li><li>Identify patterns and inconsistencies in data and report them</li><li>Meet productivity and accuracy targets</li><li>Take initiative to quickly absorb and understand tasks, performing them accurately as instructed</li><li>Learn and adapt to our internal tooling, while contributing ideas for improvement</li><li>Assist with data analysis tasks, interpreting annotated datasets and providing insights</li></ul>Quality AssuranceYou will participate in running regression testing, identifying bugs to improve our software, and conducting other tests as directed by the QA team. A technical understanding of software systems is highly preferred, and you are expected to quickly learn what you will be taught to develop more context for effective testing.Responsibilities:<ul><li>Android Device Management &amp; Debugging:</li><li>Establish connections to Android devices via USB and Wi-Fi using ADB and Scrcpy.</li><li>Effectively utilize Scrcpy for real-time device mirroring and control during testing.</li><li>Proficiently analyze and interpret Android Studio logs to identify and resolve software defects.</li><li>Web Application Debugging &amp; Analysis:</li><li>Leverage Chrome DevTools to thoroughly inspect and debug web applications.</li><li>Analyze network traffic using the Network tab to understand HTTP requests, responses, and API interactions.</li><li>Utilize the Console tab for JavaScript debugging and error identification.</li><li>Inspect and manipulate HTML/CSS using the Elements tab.</li><li>Examine local storage, cookies, and session storage using the Application tab.</li><li>API Testing &amp; Validation:</li><li>Understand and test API endpoints</li><li>HTTP methods (GET, POST, PUT, DELETE)</li><li>parameters</li><li>headers and request bodies</li><li>API responses</li><li>status codes</li><li>response headers and response bodies</li><li>Data Management &amp; Analysis:</li><li>Demonstrate a strong understanding of JSON syntax and structure.</li><li>Utilize basic SQL queries (SELECT, WHERE, JOIN) to retrieve and analyze data from MySQL databases for debugging and validation purposes.</li><li>Understand database schemas, and be able to inspect database tables and data.</li><li>Email Management &amp; Testing:</li><li>Implement and utilize email aliasing concepts to create and manage multiple test accounts.</li><li>Understand the concept of creating multiple email addresses that forward to a single inbox.</li><li>Scripting:</li><li>Ability to use scripting languages, mainly JavaScript and Python to automate test cases, APIs, repetitive tasks and load testing.</li></ul>Preferred Qualifications<ul><li>Prior experience in data labeling/annotation</li><li>Familiarity with annotation tools and basic data analysis techniques</li><li>Ability to work in morning, evening &amp; night shifts as business needs require</li><li>Excellent communication skills, both written and verbal</li><li>Quick learner with the ability to understand technical concepts</li><li>Attention to detail and commitment to quality work</li><li>Basic understanding of AI/ML processes is a plus</li><li>Strong ability to adapt and communicate effectively across all levels, from frontline teams to executive leadership.</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs75,000.00 per monthWork Location: In person

Data Analyst (Annotator)

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>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
 </li>
 <li>
 Payments are weekly on Stripe or Wise, based on services rendered.
 </li>
 </ul>
</div>

Ai Trainer/Data Annotator - Remote

Mukesh & Associates

Dear Candidate,Greetings from Mukesh &amp; Associates, SalemWe are excited to announce that we are currently hiring freshers for Data Acquisition process. Salem candidates are preferred.Position: Back Office Executive / Data Annotator/ Non Voice Executive / SEO AnalystProfessional work experience: FresherQualification: B.Sc (Computer Science/ IT), BCALocation: SalemSalem based candidates are preferred.Qualification:<ul><li>Good Communication</li><li>Basic IT knowledge</li><li>Good in Microsoft Office Suite (Word, Excel).</li></ul>Why Join Us? Growth OpportunitiesSupportive Work EnvironmentOT/ BonusInterested candidates are requested to share their updated resume.Please send an email to sumathi@mukeshassociates.com and 7845380444.Feel free to share this with your friends!Best Regards.Sumathi.JHR Manager7845380444Job Types: Full-time, FresherPay: ₹11,000.00 - ₹15,000.00 per monthWork Location: In person

Back Office Executive/ Data Annotator/ SEO Analyst/ Non Voice (Salem)

Amazon

<div>
 
 Description
 
 
 
 Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all 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.
 
 
 This is a fixed term contractual role for 1 year, requiring flexibility to work in rotational shifts.
 
 
 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>
 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.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 </li>
 <li>
 Familiarity with written language data, including experience with annotation, and other forms of data markup.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
 </li>
 <li>
 Utilize Python and SQL to automate and optimize data processing workflows
 </li>
 <li>
 Experience/ability to learn and manage stakeholder relationships across departments
 
 
 </li>
 </ul>
 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.
 
 
 
 
 Company
 
 - ADCI MAA 12 SEZ
 
 
 Job ID: A3157599
</div>

Agentic AI Teacher (Fixed term contract)

Enfuse Solutions

Hi ,We have an opportunity for an Data Annotation Profile, details below:If you're interested, kindly acknowledge this email.Role: Data AnnotationWork Location: Mira RoadShifts:Night Shift (Office)Contract: 6 MonthsCompany Website: https://www.enfuse-solutions.com/About EnFuse: EnFuse is on a mission to help its clients transform their businesses into genuinely digital-driven enterprises. With more than 25 years of cumulative experience in digital transformation, EnFuse empowers its clients to take advantage of data-intensive business processes. We offer a broad range of digital services and integrated solutions across Enterprise Data Management, eCommerce &amp; Web Operations, Analytics &amp; Competitive Intelligence, and Business Support Processes. With domain expertise and cutting-edge technology, we enable our clients to reap the best out of digital transformation to overcome their essential cost reduction challenges and create more value for businesses. About the Role: We are seeking a highly detail-oriented and experienced Tagging Annotation to join our growing data operations team. This role focuses on accurate labelling and annotation of insurance-related documents and datasets,playing a critical part intraining high-performing AI/ML models. The ideal candidate will bring a deep understanding of the insurance domain&mdash;terms,workflows, and document types&mdash;alongside proven annotation experience with complex data structures.Key Responsibilities:<ul><li>Perform tagging and annotation of such as policies, claims, underwriting forms, and other records.</li><li>Learn and apply document structures, and workflows while working on data.</li><li>Follow clear annotation guidelines and ensure accuracy in labeling tasks.</li><li>Collaborate with senior team members, data scientists, and engineers to support annotation projects.</li><li>Participate in quality checks and reviews to ensure consistency in outputs.</li><li>Gain hands-on experience with annotation tools (e.g., Labelbox, CVAT, or other internal platforms).</li><li>Maintain productivity and meet daily/weekly targets.</li></ul>Requirements:<ul><li>Strong attention to detail and willingness to learn.</li><li>Basic understanding of the insurance domain (policies, claims, underwriting, etc.) will be a plus.</li><li>Good communication and teamwork skills.</li><li>Ability to follow processes and guidelines accurately.</li></ul>Job Type: Contractual / Temporary Contract length: 6 monthsPay: ₹10,000.00 - ₹15,000.00 per monthWork Location: In person

Data Annotation

Prolific

<div><h2 class="jobSectionHeader">AI Trainer - Arabic Fluency (Egypt)</h2> 

<h4 class="jobSectionHeader">
About Prolific</h4>

Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
<h4 class="jobSectionHeader">
The role</h4>

We are seeking fluent Arabic (Egypt) speakers to participate in a high-impact AI training initiative. Unlike standard data entry, this role focuses on live human-to-human connection.

You'll be paired with another participant to engage in natural, flowing conversations, which will help train the next generation of conversational AI. This is a short-term &quot;sprint&quot; project with high availability requirements.

Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. 

<h4 class="jobSectionHeader">
What you'll bring</h4>
<ul><li>Native/ Advanced fluency: Verifiable experience and birth-country for the Egypt region.</li>
<li>Technical readiness: A willingness to complete a paid TestGorilla language assessment and a dialect verification check.</li>
<li>Availability: Ability to commit to 30-60 minute blocks of uninterrupted conversation during the 3-week project window.</li>
<li>Tool: A reliable internet connection, a quiet environment for calls, and a PayPal account for payment.</li>
</ul><h4 class="jobSectionHeader">What you'll be doing in the role</h4>
<ul><li>Live pairings: You will be matched with another participant for 1-on-1 verbal or text-based exchanges.</li>
<li>Dialect authenticity: Use your natural Egyptian Arabic dialect to discuss various topics provided by the researcher.</li>
<li>Collaborative learning: Help the AI understand the nuances, slang and cultural context of Egyptian Arabic through real-world interaction.</li>
</ul><h4 class="jobSectionHeader">Why Prolific is a great platform to join as a Domain Expert participant</h4>

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
<h4 class="jobSectionHeader">
Links to more information on Prolific</h4>

Website

Youtube
<h4 class="jobSectionHeader">
Privacy Statement</h4>

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.</div>

AI Trainer - Arabic Fluency (Egypt)

Search 10000+ Data annotator jobs near you this March. New roles added regularly across leading industries. Apply today.