data annotation specialist

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 role is based in Seattle (HQ1) or New York City (Manhattan) with 5 days in-office presence. Amazon is unable to offer relocation support for this role.
 
 
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 conduct high-judgment evaluations and deliver high-quality labeled data to train and continuously improve Amazon's Shopping AI model. 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>Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup</li><li>Bachelor's degree in English, Communications, Linguistics, or a related field</li><li>Can demonstrate strong attention to safety and ability to follow detailed procedures</li><li>Experience developing and evaluating data annotation and data quality metrics</li><li>Previous experience using annotation strategies to contribute to the development and improvement of AI</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. 
USA, NY, New York - 19.00 - 33.00 USD hourly 
USA, WA, Seattle - 21.00 - 30.00 USD hourly</div>

AI Tutor, Rufus, Amazon Rufus

MASTER-WORKS

<div>Role Purpose
The Linguistic Data Analyst is responsible for collecting, analyzing, organizing, and cleaning multilingual conversational data, with a strong focus on diplomatic and formal terminology, to prepare high-quality datasets for training Speech-to-Text (STT) AI models. 
 
This role is critical to ensuring linguistic accuracy, terminology consistency, and data readiness for AI model development, particularly in government, diplomatic, and formal communication domains.
Key Responsibilities<div>
Linguistic Data Collection: 
<ul><li>Collect and curate conversational audio and text data (meetings, interviews, speeches).</li><li>Work with multilingual datasets, primarily Arabic and English.</li><li>Ensure compliance with privacy and data governance standards.</li></ul>
 
Data Cleaning &amp; Structuring: 
<ul><li>Clean datasets by removing noise, duplication, and inconsistencies.</li><li>Normalize formal and semi-formal language usage.</li><li>Organize data by speaker, context, and formality.</li></ul>
 
Linguistic &amp; Terminology Analysis: 
<ul><li>Extract and standardize diplomatic and official terminology.</li><li>Build and maintain a diplomatic glossary.</li></ul>
 
AI Training Data Preparation: 
<ul><li>Prepare AI-ready datasets with timestamps and metadata.</li><li>Support annotation teams with linguistic guidelines.</li></ul>
 
Collaboration &amp; Documentation: 
<ul><li>Work with AI Engineers, Data Scientists and PMs.</li><li>Document standards and methodologies.</li></ul></div> 
Requirements 
 
Required Qualifications<div>
Education: 
<ul><li>Bachelor&rsquo;s degree in Linguistics, Translation, Arabic/English Studies, or related field.</li></ul>
 
Core Skills: 
<ul><li>Strong linguistic analysis skills.</li><li>Experience with conversational or textual datasets.</li><li>High attention to detail.</li></ul>
 
Technical Skills (Preferred): 
<ul><li>Familiarity with STT and NLP concepts.</li><li>Experience with data annotation workflows.</li></ul>
 
Languages: 
<ul><li>Arabic: Fluent (mandatory)</li><li>English: Fluent (mandatory)</li><li>Additional languages are a plus.</li></ul></div></div>

Linguistic Data Analyst / AI Linguistic Specialist- Diplomatic Domain (STT AI)

<div>
 
 
 About xAI
 
 
 
 
 xAI&rsquo;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
 
 
 Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
 
 
 We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company&rsquo;s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
 
 
 All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
 
 
 
 &nbsp;
 
 
 About the Role
 
 
 As a Bookkeeping Specialist on the Human Data Team, you'll create cutting-edge datasets for training, benchmarking, and advancing AI models. Collaborating closely with technical staff, you'll support xAI's mission through labeling and annotating data in text, voice, and video formats. Your expertise will focus on practical bookkeeping scenarios across small- to mid-sized business domains, including recording daily transactions, managing accounts payable and receivable, performing bank reconciliations, handling basic payroll, and preparing financial reports (primarily in QuickBooks). Tasks may include capturing or providing data through audio/video recordings, so comfort with those formats is required. This fast-paced role requires adaptability, attention to detail, and the ability to follow evolving instructions to enhance model accuracy and performance.
 
 
 Responsibilities
 
 <ul>
 <li>
 Use proprietary software applications to provide input/labels on defined projects.&nbsp;&nbsp;
 </li>
 <li>
 Support and ensure the delivery of high-quality curated data.&nbsp;&nbsp;
 </li>
 <li>
 Collaborate with technical staff to improve the design of efficient annotation tools.
 </li>
 <li>
 Regularly interpret, analyze, and execute tasks based on provided instructions.
 </li>
 <li>
 Work on bookkeeping problems from real-world business scenarios that align with your expertise, providing accurate solutions, detailed annotations, and model critiques where you can confidently evaluate responses (e.g., transaction records, invoices, receipts, bank statements, and payroll entries).
 
 
 </li>
 </ul>
 
 Key Qualifications
 
 <ul>
 <li>
 3+ years of practical bookkeeping experience (hands-on role handling day-to-day financial records).
 </li>
 <li>
 Proficiency in QuickBooks to perform common bookkeeping tasks, including bank reconciliations, invoice processing, expense tracking, and basic financial statement preparation.
 </li>
 <li>
 Strong attention to detail, accuracy, and organizational skills for handling financial data.
 </li>
 <li>
 Ability to navigate bookkeeping resources, such as QuickBooks help features, basic financial documents, and online references.
 </li>
 <li>
 Comfort with Microsoft Excel or other tools for data organization and analysis.
 </li>
 <li>
 Proficiency in reading and writing, both in informal and professional English.&nbsp;&nbsp;
 </li>
 <li>
 Excellent communication, analytical, and problem-solving abilities.
 </li>
 <li>
 Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.&nbsp;
 </li>
 <li>
 Enthusiasm for technology, AI advancements, and improving tools in the business space.
 </li>
 </ul>
 Location &amp; Other Expectations
 <ul>
 <li>
 This position is based fully remote.
 </li>
 <li>
 If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.
 </li>
 <li>
 We are unable to provide visa sponsorship.
 </li>
 <li>
 Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.
 </li>
 <li>
 For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.
 </li>
 </ul>
 Compensation
 
 $45/hour - $65/hour
 
 
 The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.
 
 
 Benefits:
 
 
 Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.
 
 
 
 xAI is an equal opportunity employer. For details on data processing, view our&nbsp;
 
 
 Recruitment Privacy Notice.
 
 
</div>

Bookkeeping Specialist

Turing

<div>
 
 
 bout Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
 
 
 Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
 </li>
 <li>
 Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
 </li>
 <li>
 Provide detailed, well-structured justifications to support evaluation decisions.
 </li>
 <li>
 Follow established evaluation guidelines and quality standards consistently.
 </li>
 <li>
 Use browser-based tools and extensions to support analysis and review tasks.
 </li>
 <li>
 Execute simple command-line instructions when required to support evaluation workflows.
 </li>
 <li>
 Document findings clearly and communicate insights to stakeholders when needed.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Solid comfort using a computer in a professional setting.
 </li>
 <li>
 Experience working with browser extensions and online tools.
 </li>
 <li>
 Ability to run basic command-line commands (no advanced programming required).
 </li>
 <li>
 Strong analytical and critical thinking skills.
 </li>
 <li>
 High attention to detail and ability to justify decisions clearly and objectively.
 </li>
 <li>
 Comfortable working with evaluation frameworks, comparisons, and structured analysis.
 </li>
 <li>
 Good written communication skills in English.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Previous experience with evaluation, annotation, QA, or audit-type work.
 </li>
 <li>
 Familiarity with data quality, content evaluation, or model/output assessments.
 </li>
 <li>
 Background in business analysis, operations, or process improvement.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Competitive compensation based on experience and expertise.
 </li>
 <li>
 Flexible working hours and a fully remote environment.
 </li>
 <li>
 Opportunity to contribute to impactful research initiatives.
 </li>
 <li>
 Potential for contract extension based on performance and project needs.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitment Required: 30 hours per week minimum.
 </li>
 <li>
 Engagement Type: Contractor/Freelancer (no medical or paid leave).
 </li>
 <li>
 Time Overlap: Some overlap with UTC-8:00 (2&ndash;5 hrs/day) America/Los_Angeles.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be invited to complete an analytical challenge.
 </li>
 <li>
 Once the assessment is cleared, you&rsquo;re ready to start contributing!
 </li>
 </ul>
 
 
 
 
 
 After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
 
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Business Analyst - 57510

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Language Model Evaluator 
Type: Full-time or Part-time Contract Work 
Compensation: $23/hour 
Location: Geography restricted to Egypt, Saudi Arabia, UAE, USA
Role Responsibilities<ul><li>
Evaluate LLM-generated responses on their ability to effectively answer user queries.</li><li>
Conduct fact-checking using trusted public sources and external tools.</li><li>
Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies.</li><li>
Assess reasoning quality, clarity, tone, and completeness of responses.</li><li>
Ensure model responses align with expected conversational behavior and system guidelines.</li><li>
Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor&rsquo;s degree</li><li>
Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Arabic</li><li>
Significant experience using large language models (LLMs)</li><li>
Excellent writing skills</li><li>
Strong attention to detail</li><li>
Adaptable and comfortable moving across topics, domains, and customer requirements</li><li>
Background or experience in domains requiring structured analytical thinking</li><li>
Excellent college-level mathematics skills</li></ul>
Preferred<ul><li>
Prior experience with RLHF, model evaluation, or data annotation work</li><li>
Experience writing or editing high-quality written content</li><li>
Experience comparing multiple outputs and making fine-grained qualitative judgments</li><li>
Familiarity with evaluation rubrics, benchmarks, or quality scoring systems</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Data Annotator

Senior Content Reviewer

YO IT CONSULTING

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Role:
Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
This project focuses on evaluating and improving general chat behavior in large language models (LLMs). You will assess model-generated responses across diverse topics, provide high-quality human feedback, and help ensure AI systems communicate in ways that are accurate, well-reasoned, and aligned with human expectations.
What You&rsquo;ll Do
<ul><li>Evaluate LLM-generated responses on their ability to effectively answer user queries
</li><li>Conduct fact-checking using trusted public sources and external tools
</li><li>Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
</li><li>Assess reasoning quality, clarity, tone, and completeness of responses
</li><li>Ensure model responses align with expected conversational behavior and system guidelines
</li><li>Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines
</li></ul>Who You Are
<ul><li>You hold a Bachelor&rsquo;s degree
</li><li>You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in Italian
</li><li>You have significant experience using large language models (LLMs) and understand how and why people use them
</li><li>You have excellent writing skills and can clearly articulate nuanced feedback
</li><li>You have strong attention to detail and consistently notice subtle issues others may overlook
</li><li>You are adaptable and comfortable moving across topics, domains, and customer requirements
</li><li>You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
</li><li>You have excellent college-level mathematics skills
</li></ul>Nice-to-Have Specialties
<ul><li>Prior experience with RLHF, model evaluation, or data annotation work
</li><li>Experience writing or editing high-quality written content
</li><li>Experience comparing multiple outputs and making fine-grained qualitative judgments
</li><li>Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
</li></ul>What Success Looks Like
<ul><li>You identify factual inaccuracies, reasoning errors, and communication gaps in model responses
</li><li>You produce clear, consistent, and reproducible evaluation artifacts
</li><li>Your feedback leads to measurable improvements in response quality and user experience</li></ul></div>

English & Italian Trainer - Remote

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