data annotation specialist

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<div>
 
 Job Description
 
 
 
 AI Training Specialist (Data Annotation)
 
 
 
 Location:
 
 San Diego, CA (Remote, United States)
 
 
 
 Job Description:
 
 Play a key role in helping train and improve artificial intelligence (AI) systems by labeling and categorizing data (text, images, short videos), reviewing data for accuracy and consistency, identifying errors, and meeting productivity goals. Maintain confidentiality and adhere to data security standards.
 
 
 
 Requirements
 
 
 
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 Excellent attention to detail and strong organizational skills.
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 Reliable Internet connection and computer.
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 Ability to focus for extended periods and follow detailed written instructions.
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 Strong written communication skills in English.
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 Must be located within the United States.
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 Previous data annotation, labeling, or transcription experience is a plus, but not required.
 
 
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 </ul>
 
 Benefits
 
 
 
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 Fully remote (work from anywhere within the United States).
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 Full-time and part-time available.
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 Competitive hourly pay from $20/hr.
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 Training provided.
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 Gain hands-on experience supporting real-world AI training projects.
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 Be part of a growing remote team.
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 </ul>
</div>

AI Training Specialist (Data Annotation)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and has a track record of exhibiting high judgment in ambiguous environments. This is an opportunity to join the high-performing team behind Amazon&rsquo;s generative AI-powered shopping assistant. Rufus makes it easy for customers to find and discover the best products to meet their unique needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. This role will bring innovation and cohesion to our efforts to deliver a seamless and delightful AI-assisted shopping experience to customers worldwide.
 
 
We are looking for candidates who are passionate about the intersection of language and technology and are keen to support the training of Large Language Models. This role will be responsible for conducting high-judgment evaluations and labeling data in order to improve the fluency of our Shopping AI model. They will uphold our high standards for style and tone, while using customer feedback to continually iterate and improve the shopping experience.
 
 
This role requires exceptional written and oral communication skills, excellent judgment, strong interpersonal skills, deep curiosity about how things work, and a passion for serving customers. You must enjoy context-switching and multi-tasking while upholding our high standards. This is an opportunity to gain valuable experience in the growing field of artificial intelligence and its application in diverse business settings. 
 
Key job responsibilities 
<ul><li>Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.</li><li>Demonstrate proficiency in generating high-quality human insight data across a range of modalities, inclusive of text, image, video, and audio.</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.</li><li>Pivot from one category of requirement to another instantaneously, maintaining a keen eye for detail and a high bar for quality.
</li><li>Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.</li><li>Responsible for identifying day-to-day process and operational issues in Standard Operating Procedures and related tooling, suggesting changes to unblock the team.</li></ul> 
A day in the life 
You will develop and implement prompting strategies to train and improve Amazon&rsquo;s Shopping LLM. You will partner closely with Product, Science, and Engineering teams, who are invested in creating solutions that make it easier, faster, and more intuitive for our non-coding workforce to iterate and improve Rufus for customers. You will be part of an Editorial team, which includes creative product and program managers, writers, editors, and language engineers. This is a startup culture: We move fast, have ambitious goals, adapt quickly, and learn along the way.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent</li><li>Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup</li><li>Experience developing and evaluating data annotation and data quality metrics</li><li>Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, as well as leading a team of peers</li><li>Can demonstrate strong attention to safety and ability to follow detailed procedures</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>4+ years of technical writer, editor, or content strategist experience</li><li>Experience leading cross-functional teams to deliver products and projects on tight deadlines</li><li>Experience working in fast paced environments, and managing workload even during times of stress, or escalated activity</li><li>Experience working with cross-functional teams to deliver products and projects on tight deadlines</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. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 23.00 - 41.00 USD hourly 
USA, WA, Seattle - 21.00 - 37.00 USD hourly</div>

AI Tutor, Rufus, Amazon

Perle

<div>
 
 About Perle
 
 
 
 This is your chance to be a core contributor to the future of Artificial Intelligence.
 
 
 perle.ai
 
 
 is advancing the next generation of global language models (LLMs) and we need
 
 
 your
 
 
 linguistic expertise. We call our team the "Experts"&mdash;because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native-level knowledge of
 
 
 Arabic
 
 
 to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you.
 
 
 
 
 The Opportunity
 
 
 
 
 We are seeking a highly skilled and detail-oriented
 
 
 Arabic - Gulf Speaker
 
 
 with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.
 
 
 
 What You'll Do
 
 
 
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 Data Annotation &amp; Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Arabic - Gulf for linguistic quality, accuracy, clarity, and cultural appropriateness.
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 Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing.
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 Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards.
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 Feedback &amp; Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance.
 
 
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 </ul>
 
 Qualifications
 
 
 
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 Native Speaker &amp; Residency: Must be a native-level fluency speaker of Arabic and currently residing in Qatar.
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 Education: Bachelor's Degree (minimum) from an accredited institution.
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 Linguistic Background (Preferred): A degree in Linguistics, Arabic - Gulf Language Studies, Translation, or a related field is highly preferred.
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</div>

Arabic Language Specialist (Qatar-based)

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
 
 
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 Synthesize information from large volumes of data
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 Annotate and categorize text, images, and other data according to detailed guidelines
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 Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
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 Flag inconsistencies, ambiguities, or errors in datasets
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 Contribute to the improvement of AI systems through consistent annotation work
 
 
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 Ideal Qualifications
 
 
 
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 Ability to synthesize complex or high-volume information into structured formats
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 Strong critical reasoning, reading comprehension, and written communication skills
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 Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
 
 
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 More About the Opportunity
 
 
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 Expected commitment: ~20 hours/week
 
 
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 Application Process
 
 
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 Submit your resume to begin
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 Complete a Training Assessment
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 Typical response time: 1-2 business days
 
 
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 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
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 You will be engaged as an independent contractor.
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 This is a fully remote role that can be completed on your own schedule.
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 Projects can be extended, shortened, or concluded early depending on needs and performance.
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 Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
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 Payments are weekly on Stripe or Wise, based on services rendered.
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 </ul>
</div>

Ai Trainer/Data Annotator - Remote

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AI Training Specialist (Data Annotation)

AI Tutor, Rufus, Amazon

Arabic Language Specialist (Qatar-based)

Ai Trainer/Data Annotator - Remote

Ai Trainer/Data Annotator - Remote

Ai Trainer/Data Annotator - Remote

Ai Trainer/Data Annotator - Remote