data annotator

Theoddcoders Technologies

<p><b>We&rsquo;re Hiring &ndash; Data Annotators (Full Time)</b><br/><b>Location:</b> Ganesh Glory, Gota, Ahmedabad<br/><b>Company:</b> Theoddcoders Technologies</p><p>Are you detail-oriented and passionate about data? Join us at Theoddcoders Technologies as a <b>Full-Time Data Annotator</b> and be a part of an innovative team working on cutting-edge AI projects!</p><p><b>What we&rsquo;re looking for:</b></p><ul><li>Graduate with BCA or BTech</li><li>Freshers are welcome to apply</li><li>Knowledge of sports is a plus</li><li>Must have your own laptop (mandatory requirement)</li></ul><p><b>Work Timings:</b><br/>10:00 AM &ndash; 7:00 PM (Monday to Friday)</p><p><b>Why work with us:</b></p><ul><li>Work with a dynamic and growing AI technology team</li><li>Gain hands-on experience in data annotation for real-world projects</li><li>Flexible night shift option available for interested candidates</li><li>Friendly and supportive work environment</li></ul><p>If you are eager to learn, detail-focused, and ready to contribute to exciting projects, we&rsquo;d love to hear from you!</p><p>Apply now and take the first step toward building a rewarding career with us!</p><p>Job Type: Full-time</p><p>Pay: &#8377;13,500.00 - &#8377;15,000.00 per month</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Paid time off</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Work Location: In person</p>

Data Annotator

Codash Solutions

<p>Role Overview:</p><p>We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles!</p><p>Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!</p><p>What does day-to-day look like:</p><p>* You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:</p><p>* Who is the best tennis player in the world? (Hint: Are you sure you are thinking holistically? Your mind may automatically go to Novak Djokovic, but think again! How would you define best, are you covering all genders?)</p><p>* In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?</p><p>* Note: No other prior specialized domain experience is needed.</p><p>Requirements:</p><p>* English Proficiency: Ability to read and write in English with a high degree of comprehension skills.</p><p>* Analytical Skills: Good research and analytical skills.</p><p>* Feedback Skills: Ability to provide constructive feedback and detailed annotations.</p><p>* Creative Thinking: Creative and lateral thinking abilities.</p><p>* Communication: Excellent communication and collaboration skills.</p><p>* Independence: Self-motivated and able to work independently in a remote setting.</p><p>* Commitment: Ability to commit to 40 hours per week for the contract duration overlapping US hours.</p><p>* Technical Setup: Desktop/Laptop set up with a good internet connection.</p><p>Job Type: Contractual / Temporary<br/>Contract length: 45 days</p><p>Pay: &#8377;200.00 - &#8377;250.00 per hour</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Application Question(s):</p><ul><li>Are you able to give 40 hours per week for the contract duration overlapping US hours ?</li><li>Do you have Experience  working with the LLM (Large Language Models) to solve puzzles ?</li><li>Do you have Good research and analytical skills ?</li></ul><p>Experience:</p><ul><li>Data Annotators: 2 years (Required)</li></ul><p>Work Location: Remote</p>

Toloka Annotators

<div><p><b><i>Please submit your resume in English and indicate your level of English.</i></b><br>
<br>
At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.
</p><p><b>What we do</b></p><p>
Toloka connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.</p><p><b>
About the Role</b></p><p>
The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.</p><p>
Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.
</p><p><b>Responsibilities:</b>
</p><ul><li>Carefully review provided data (text, images, or videos)
</li><li>Label or classify content based on project guidelines
</li><li>Identify and flag factually incorrect, sensitive, inappropriate, or unclear material
</li></ul><p><b>Important note: </b>This is project-based work. Tasks are available <b>only when projects are active</b>. You may be invited to one or more projects depending on your profile and current opportunities.</p><p><b>
Requirements</b></p><ul>
<li>Bachelor&rsquo;s degree in any discipline</li>
<li>Minimum <b>1 year of experience </b>in any professional role.</li>
<li><b>You have advanced proficiency in Japanese (C1) and a B2 level of English, </b>both written and spoken.</li>
<li>Logical thinking, fact-checking and reasoning abilities
</li><li>Strong attention to detail and ability to understand and follow complex instructions
</li><li>Strong communication skills, including the ability to ask clarifying questions when needed
</li><li>Genuine interest in technology and artificial intelligence</li>
</ul><p><b>Benefits</b></p><p><b>
Why this freelance opportunity might be a great fit for you?
</b></p><ul><li>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.</li>
<li>Work on advanced AI projects and gain valuable experience that enhances your portfolio.</li>
<li>Influence how future AI models understand and communicate in your field of expertise.</li></ul></div>

Data Annotator with Japanese - AI Trainer

Freelance Data Annotator with Japanese - AI Trainer

EXL Service

<div></div><div><div><div><div><div><div><div><div>Lead Assistant Manager</div><p>EXL/LAM/1466402</p><ul>
EXL Digital CommonNoida</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
01 Sep 2025</div></div></div><div><div><div>
End Date</div><div>
16 Oct 2025</div></div></div><div><div><div>
Required Experience</div><div>
3 - 6 Years
</div></div></div></ul></div></div></div></div></div></div><p></p><div><div><p>
</p></div></div></div><p><div><div><div><div><div>Basic Section</div></div></div><div><div><p>
Number Of Positions</p><p>
1</p></div><div><p>
Band</p><p>
B2</p></div><div><p>
Band Name</p><p>
Lead Assistant Manager</p></div><div><p>
Cost Code</p><p>
G090628</p></div><div><p>
Campus/Non Campus</p><p>
NON CAMPUS</p></div><div><p>
Employment Type</p><p>
Permanent</p></div><div><p>
Requisition Type</p><p>
New</p></div><div><p>
Max CTC</p><p>
900000.0000 - 1500000.0000</p></div><div><p>
Complexity Level</p><p>
-</p></div><div><p>
Work Type</p><p>
Hybrid &ndash; Working Partly From Home And Partly From Office</p></div></div></div><div><div><div><div>
Organisational</div></div></div><div><div><p>
Group</p><p>
EXL Digital</p></div><div><p>
Sub Group</p><p>
EXL Digital Common</p></div><div><p>
Organization</p><p>
EXL Digital Common</p></div><div><p>
LOB</p><p>
CX Transformation Capability</p></div><div><p>
SBU</p><p>
CX CoE</p></div><div><p>
Country</p><p>
India</p></div><div><p>
City</p><p>
Noida</p></div><div><p>
Center</p><p>
Noida - Centre 59</p></div></div></div></div></p><div><div><div><div>
Skills</div></div><div><div><p>
Skill</p><div><p>
NLP
</p><p>SENTIMENT ANALYSIS
</p><p>COMPUTER VISION
</p><p>SPEECH ANALYTICS
</p><p>AWS
</p><p>PYTHON 3
</p><p>BIG DATA
</p><p>SQL
</p></div></div><div><p>Minimum Qualification</p><div><p>
BTECH</p></div></div><div><p>
Certification</p><p>
No data available
</p></div></div></div></div><div><div><div><div>Job Description</div></div><div><p><b>
Job Description: Data Annotator</b></p><p><b>
Job Summary</b></p><p>
We are seeking a detail-oriented and highly skilled <b>Data Annotator</b> to support the development of AI and Machine Learning (ML) models by preparing, labeling, and curating large-scale datasets. The ideal candidate will possess a strong understanding of annotation techniques, quality assurance for labeled data, and practical exposure to <b>cloud-based tools (with a strong emphasis on AWS SageMaker Ground Truth, GCP Data Labeling, and Azure ML Data Labeling)</b>. This role is pivotal in ensuring the integrity, scalability, and accuracy of the data pipelines that power advanced AI systems.</p><p>
The Data Annotator will collaborate closely with Data Scientists, Machine Learning Engineers, Cloud Architects, and Product Teams to deliver high-quality labeled datasets optimized for supervised learning, natural language processing (NLP), computer vision, and speech recognition models.</p><p><b>
Key Responsibilities</b></p><p><b>
Data Annotation &amp; Labeling</b></p><ul><li>
Perform <b>manual and semi-automated labeling</b> of datasets across multiple modalities including text, audio, images, and video.</li><li>
Create high-quality annotations for:<ul><li><b>
Text/NLP</b>: Named Entity Recognition (NER), sentiment analysis, intent classification, part-of-speech tagging, conversation structuring, and chatbot training datasets.</li><li><b>
Computer Vision</b>: Bounding boxes, polygons, segmentation masks, key points, object tracking in videos, and OCR annotation.</li><li><b>
Speech/Audio</b>: Transcription, speaker diarization, phoneme tagging, emotion labeling, and acoustic event detection.</li></ul></li><li>
Conduct <b>multi-tier annotation validation</b> and apply inter-annotator agreement processes to ensure labeling accuracy.</li></ul><p><b>
AWS &amp; Cloud-Based Annotation</b></p><ul><li>
Leverage <b>AWS SageMaker Ground Truth</b> for scalable data labeling workflows including automated data labeling with active learning.</li><li>
Implement <b>quality control (QC) mechanisms in SageMaker Ground Truth</b> such as audit labels, annotation consolidation, and annotation jobs monitoring.</li><li>
Integrate annotated datasets into <b>AWS S3</b>, ensuring optimal storage structures and lifecycle policies.</li><li>
Work with <b>AWS Glue, Athena, and QuickSight</b> for dataset validation, analysis, and reporting.</li><li>
Exposure to <b>GCP Data Labeling Services</b> and <b>Azure ML Data Labeling</b> tools for multi-cloud environments (good to have).</li><li>
Collaborate with Cloud Engineers to automate annotation workflows using <b>Lambda functions, Step Functions, and event-driven pipelines.</b></li></ul><p><b>
Data Management &amp; Quality Assurance</b></p><ul><li>
Perform <b>data preprocessing</b>: cleaning, normalization, anonymization (especially for PII data), and augmentation.</li><li>
Apply <b>data quality checks</b> to maintain dataset balance, reduce bias, and enhance representativeness.</li><li>
Document annotation guidelines, taxonomy structures, and ontology mapping for consistent labeling practices.</li><li>
Ensure compliance with <b>security and privacy standards</b> (GDPR, HIPAA, SOC2, ISO 27001) while working with sensitive datasets.</li></ul><p><b>
Collaboration &amp; Continuous Improvement</b></p><ul><li>
Collaborate with ML Engineers and Data Scientists to refine annotation requirements based on evolving model performance.</li><li>
Participate in regular <b>feedback loops</b> with AI developers to improve annotation accuracy and dataset utility.</li><li>
Contribute to the design of <b>annotation ontologies</b> and <b>label taxonomies</b> for domain-specific projects (e.g., healthcare, finance, retail, manufacturing).</li><li>
Stay updated on <b>emerging annotation tools, AI-assisted labeling platforms, and best practices.</b></li></ul><p></p><p><b><br>
Required Skills &amp; Competencies</b></p><p><b>
Core Skills</b></p><ul><li>
Proven expertise in <b>data annotation for AI/ML applications</b> across text, image, and speech datasets.</li><li>
Strong proficiency with <b>AWS Cloud services</b>, especially <b>SageMaker Ground Truth</b>, S3, and Glue.</li><li>
Familiarity with <b>annotation platforms and tools</b> (Labelbox, Supervisely, CVAT, Prodigy, Doccano).</li><li>
Knowledge of <b>Python/SQL scripting</b> for dataset preparation and automation.</li><li>
Basic understanding of <b>machine learning concepts</b> (classification, object detection, NLP pipelines).</li><li>
Familiarity with <b>big data tools</b> (Apache Spark, Databricks &ndash; nice to have).</li></ul><p><b>
Domain Knowledge</b></p><ul><li><b>
Text/NLP</b>: Language models, chatbot training, intent recognition.</li><li><b>
Computer Vision</b>: Object detection, OCR, autonomous systems labeling.</li><li><b>
Audio/Speech</b>: Transcription guidelines, phoneme labeling, acoustic datasets.</li><li>
Understanding of <b>industry datasets</b> (healthcare records, retail data, insurance documents, call center logs).</li></ul><p><b>
Cloud Expertise</b></p><ul><li><b>
AWS (Priority)</b>: SageMaker Ground Truth, S3, Glue, Athena, QuickSight, IAM for role-based access control.</li><li><b>
GCP (Good to Have)</b>: Vertex AI, AutoML, Data Labeling.</li><li><b>
Azure (Good to Have)</b>: Azure ML Data Labeling, Azure Blob Storage, Azure Cognitive Services.</li></ul><p><b>
Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in <b>Computer Science, Data Science, Information Technology</b>, or related field.</li><li>
2&ndash;5 years of experience in <b>data annotation, data labeling, or dataset preparation</b> for AI/ML projects.</li><li>
Hands-on experience with <b>AWS annotation workflows</b> and <b>multi-modal datasets</b>.</li><li>
Certification in <b>AWS Machine Learning Specialty</b> or <b>AWS Data Analytics Specialty</b> (preferred).</li><li>
Exposure to annotation in <b>regulated industries</b> (healthcare, finance, retail, government projects) is a plus.</li></ul><p><b>
Performance Metrics</b></p><ul><li><b>
Annotation Quality</b>: Accuracy and consistency of labeled data.</li><li><b>
Efficiency</b>: Volume of annotations completed within SLA.</li><li><b>
Cloud Integration</b>: Seamless delivery of datasets into AWS pipelines.</li><li><b>
Error Reduction</b>: Continuous improvement of data validation and annotation accuracy.</li><li><b>
Collaboration</b>: Effective communication with Data Science and Cloud Engineering teams.</li></ul><p><b>
Growth Path</b></p><ul><li><b>
Senior Data Annotator / Annotation Lead</b> managing teams of annotators.</li><li><b>
Data Quality Analyst</b> leading data validation and audit processes.</li><li><b>
ML Data Engineer</b> transitioning into dataset pipeline development roles.</li><li><b>
AI/ML Specialist on AWS</b> specializing in automation and scaling of annotation pipelines</li></ul></div></div></div><p></p><div><div><div><div><br>
Workflow</div></div><div><div><p>
Workflow Type</p><div>
Digital Solution Center</div></div></div></div></div></div></div><p></p>

Lead Assistant Manager

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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>

AI Annotator, AGI Data Services

V2 Tech Ventures

<p><b>Job Summary:</b></p><p>We are seeking a detail-oriented and sports-savvy individual to join our team as a <b>Sports Annotation Specialist</b>. In this role, you will be responsible for accurately labeling and tagging sports video footage or datasets to support machine learning models, content indexing, and performance analysis. Your work will directly contribute to enhancing sports broadcasting, coaching tools, and AI-driven sports platforms.</p><p><b>Key Responsibilities:</b></p><ul><li>Watch and analyze sports footage (e.g., football, cricket, basketball) to identify key events such as goals, fouls, passes, and player movements.</li><li>Annotate video frames or datasets using specialized tools and software.</li><li>Ensure high accuracy and consistency in labeling across different sports and formats.</li><li>Collaborate with data scientists, developers, and sports analysts to refine annotation guidelines.</li><li>Maintain documentation of annotation standards and update them as needed.</li><li>Meet daily/weekly annotation targets and quality benchmarks.</li><li>Provide feedback on tool usability and suggest improvements.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Strong knowledge of one or more sports (rules, gameplay, terminology).</li><li>Experience with video annotation tools (e.g., CVAT, Labelbox, VGG Image Annotator) is a plus.</li><li>Excellent attention to detail and ability to follow structured guidelines.</li><li>Basic understanding of data labeling and machine learning concepts is preferred.</li><li>Ability to work independently and manage time effectively.</li><li>Good communication skills and team collaboration.</li></ul><p>Job Type: Full-time</p><p>Pay: Up to &#8377;1,000,000.00 per year</p><p>Work Location: In person</p>

Sports Annotation / Image & Video Analysis

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