data annotation specialist

EPAM Systems

<div>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a Data Processing Specialist - Visual Annotation to join our software and system engineering team.
You will focus on annotating images using graphic tools and specialized instruments to create high-quality training datasets that support AI model development. Apply now to contribute to cutting-edge machine learning projects.
Responsibilities<ul><li>
Annotate images using graphic tools and specialized instruments</li><li>
Sort and filter large volumes of images up to tens of thousands weekly</li><li>
Analyze annotated data to ensure accuracy and quality</li><li>
Support the creation of high-quality training datasets for AI models</li><li>
Maintain focus and attention to detail during repetitive tasks</li><li>
Interpret large amounts of visual information effectively</li><li>
Collaborate with team members to meet project deadlines</li><li>
Adapt quickly to changing tasks and priorities</li><li>
Follow established guidelines for image annotation and data processing</li></ul>
Requirements<ul><li>
Experience with Adobe Photoshop at a basic to intermediate level (1-4 years)</li><li>
Strong analytical thinking skills</li><li>
Ability to maintain focus and attention to detail during repetitive tasks</li><li>
Logical reasoning and independent decision-making capability</li><li>
Fast learning ability to adapt and switch between tasks</li><li>
Experience processing and interpreting large amounts of information</li><li>
English proficiency at B1 level or higher</li></ul>
We offer<ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Data Processing Specialist - Visual Annotation

Turing

<div>
 
 
 About 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.
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking detail-oriented professionals with strong computer literacy to contribute to the creation of a large-scale
 
 computer usage dataset
 
 that trains intelligent systems to understand real-world user interactions with software applications. This role is essential for capturing, annotating, and validating screen-based activity that powers next-generation AI models for workflow comprehension and user behavior analysis.
 
 
 
 
 
 
 What Does Day-to-Day look like:
 
 
 <ul>
 <li>
 Record your screen while performing assigned computer-based tasks that simulate real-world software usage.
 </li>
 <li>
 Follow detailed step-by-step documentation to execute multi-step workflows accurately.
 </li>
 <li>
 Ensure all recordings are high-quality, complete, and free from interruptions.
 </li>
 <li>
 Label or verify user interaction events (clicks, keystrokes, on-screen actions) as instructed.
 </li>
 <li>
 Maintain consistency in documentation, task execution, and file naming conventions.
 </li>
 <li>
 Handle all data responsibly and adhere to strict privacy and confidentiality protocols.
 </li>
 </ul>
 
 
 
 
 
 Type of Tasks:
 
 
 
 You&rsquo;ll complete and record tasks across a diverse set of software environments, such as:
 
 <ul>
 <li>
 
 Education &amp; Productivity Tools:
 
 learning platforms, scheduling, and organizational apps.
 </li>
 <li>
 
 Software &amp; Development Environments:
 
 installing or configuring IDEs or tools (no coding required).
 </li>
 <li>
 
 Data &amp; Analytics Platforms:
 
 exploring dashboards or monitoring systems.
 </li>
 <li>
 
 Creative Applications:
 
 working with design, visualization, or media tools.
 </li>
 <li>
 
 General Use Cases:
 
 browsing, document management, or system settings tasks.
 </li>
 <li>
 Adaptability and curiosity to explore unfamiliar applications are key to success in this role.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Computer with
 
 16GB RAM or higher
 
 and a stable internet connection.
 </li>
 <li>
 Proven ability to follow step-by-step written instructions with precision.
 </li>
 <li>
 Comfort navigating a wide range of computer applications and interfaces.
 </li>
 <li>
 Basic technical literacy &mdash; able to install, configure, and troubleshoot applications.
 </li>
 <li>
 
 Basic coding knowledge
 
 and familiarity with tools like
 
 Visual Studio
 
 ,
 
 PyCharm
 
 , or similar environments preferred.
 </li>
 <li>
 Exceptional attention to detail and consistency in recording and annotation work.
 </li>
 <li>
 Commitment to maintaining confidentiality and compliance with data-handling standards.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 1+ years experience in
 
 data annotation
 
 ,
 
 QA testing
 
 , or
 
 user research
 
 .
 </li>
 <li>
 Familiarity with productivity, creative, or technical software ecosystems.
 </li>
 <li>
 Strong organizational and time management skills in remote settings.
 </li>
 <li>
 Proactive communicator and reliable independent contributor.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 <li>
 Potential for contract extension based on performance and project needs.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required :
 
 at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 
 Engagement type :
 
 Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 
 Duration of contract
 
 : 1 month
 </li>
 </ul>
 
 
 
 
 
 Evaluation Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will have to fill a short form and you are ready to go!
 </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 - 53038

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 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.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent</li><li>Bachelor's degree or above in a related field</li></ul>
- - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 
- - Familiarity with written language data, including experience with annotation, and other forms of data markup.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><div>
- - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). 
- - Utilize Python and SQL to automate and optimize data processing workflows 
- - Experience/ability to learn and manage stakeholder relationships across departments 
<ul><li>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.</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.</div></div>

Agentic AI Teacher

SME Careers

<div>
 In this hourly, remote contractor role, you will review AI-generated engineering solutions and/or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step problem-solving while providing crisp written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world&rsquo;s largest AI companies and foundation-model labs. Your mechanical engineering expertise directly helps improve the world&rsquo;s premier AI models by making their technical reasoning more accurate, reliable, and clearly explained.
 
 
 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'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>
 
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (or higher) in Mechanical Engineering, Aerospace Engineering, or Engineering Physics (Thermo/Heat Transfer/Fluids/Statics-Dynamics/Differential Equations).
 </li>
 <li>
 Strong, confident fundamentals in mechanics, thermodynamics, fluid mechanics, applied physics, engineering math, and system modeling.
 </li>
 <li>
 Comfortable evaluating technical solutions for correctness, methodology, units/dimensional consistency, assumptions, and physical plausibility with high attention to detail.
 </li>
 <li>
 Able to clearly explain reasoning and corrections in writing; Minimum C1 English proficiency.
 </li>
 <li>
 Experience applying basic design principles (requirements, constraints, margins, trade-offs) in real engineering contexts.
 </li>
 <li>
 Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
 </li>
 <li>
 Previous experience with AI data training/annotation or technical reviewing is strongly preferred.
 </li>
 </ul>
</div>

Senior Mechanical Engineer

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Senior Mechanical Engineer

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