machine learning data annotator

TELUS Digital Middle East FZ-LLC

What You ll Do
<ul>
<li>Annotate and label text, images, and documents to train AI systems.</li>
<li>Collect, organize, and validate datasets for machine learning projects.</li>
<li>Review data quality to ensure accuracy, precision, and consistency.</li>
<li>Collaborate with international remote teams to deliver on project milestones.</li>
<li>Contribute to AI advancements by providing high-quality annotated datasets.</li>
</ul>

Remote Data Entry AI Annotation Specialist

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 Lahore Onsite interview event will be hosted on the day of 15th &amp; 16th October, the details will be shared during the recruiter screen.
 
 
 Location : (ISB Onsite)
 
 
 
 Timings: Rotational shifts
 
 
 
 About The Role
 
 
 
 Being customer-obsessed and data-driven is what drives this role. We&rsquo;re looking for individuals who can empathize with users and work towards making their everyday lives easier. If you&rsquo;re analytical, detail-oriented, and organized, but also excited to roll up your sleeves and get your hands dirty, you&rsquo;d fit right in. The role will require rotational working hours
 
 onsite
 
 to ensure smooth operational running of the
 
 24/7/365 real-time setup,
 
 and collaboration with a global team.
 
 
 This role directly powers a critical live customer-facing product safety product, which forms the foundation for multiple other safety features. You would be the expert at risk identification for all our customers using our safety products.
 
 
 You would also work closely with the Research &amp; Development teams to power our in-house Machine Learning and Artificial Intelligence models by generating high-quality training datasets. This requires an understanding of data requirements, data definitions, edge cases, tooling, and review processes.
 
 
 In addition to that, you would also work closely with the Product team to run proof of concepts and experiments, which guide the direction of our Safety product suite, particularly in the areas of risk identification, mitigation, and reduction. You would also contribute to analyzing data to improve the user experience for our customers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Review and annotate images and video data to support AI and safety features.
 </li>
 <li>
 Identify and tag risks using both contextual knowledge and standardized instructions.
 </li>
 <li>
 Analyze data and participate in process pilots to enhance products.
 </li>
 <li>
 Maintain high standards of tagging accuracy and SLA compliance.
 </li>
 <li>
 Collaborate with Product and R&amp;D teams to generate high-quality datasets.
 </li>
 <li>
 To be comfortable working on multiple projects and tools, along with time management.
 </li>
 <li>
 Provide feedback for existing processes and tools that help in improving the accuracy and quality of deep learning models, considering customer demand.
 </li>
 <li>
 Uphold confidentiality and compliance with company standards.
 
 
 </li>
 </ul>
 
 During Probation, Expect To
 
 
 
 <ul>
 <li>
 Participate in comprehensive training to understand Motive&rsquo;s products, in-house projects, workflows, and company values.
 </li>
 <li>
 Integrate with the team and develop knowledge of work ethics and product features through hands-on experience and collaboration.
 </li>
 <li>
 Undergo regular performance reviews focused on meeting defined KPIs for annotation quality, accuracy, productivity, and process adherence.
 </li>
 <li>
 Receive feedback and coaching to improve multitasking abilities and deliver consistently high-quality results.
 </li>
 <li>
 Successful completion of probation depends on consistently meeting these standards; failure to do so may result in an extension of probation or discontinuation of employment.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, IT, Management, Business, or a related discipline.
 </li>
 <li>
 Up to two years of relevant experience, suitable for entry-level and early-career professionals.
 </li>
 <li>
 Demonstrates attention to detail, strong organizational skills, and an eagerness for continuous growth.
 </li>
 <li>
 Basic understanding of G-Suite preferred.
 </li>
 <li>
 Approaches problem-solving and execution with a customer-centric mindset.
 </li>
 <li>
 Shows genuine interest in learning annotation methodologies and exploring the use of AI and machine learning within the trucking sector.
 </li>
 <li>
 Capable of effective collaboration and coordination within a dynamic, onsite team operating 24/7/365.
 </li>
 <li>
 Proactively takes ownership of responsibilities and adapts well to working on multiple projects and annotation tools simultaneously.
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here .
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Data Annotator - ISB Recruitment Drive- ISLAMABAD (Onsite)

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 of 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. 
 
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>Utilize Python and SQL to automate and optimize data processing workflows
</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&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li><li>Proven experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Familiarity with critical concepts such as Python, scripting language, data structures etc.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li><li>Experience managing stakeholder relationships across departments.</li><li>Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</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>

Agentic AI Teacher , AGI Data Services

<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 of 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. 
 
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>Utilize Python and SQL to automate and optimize data processing workflows
</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&rsquo;s degree in a relevant field or equivalent professional experience</li><li>Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)</li><li>Proven experience working with written language data, including experience with annotation, and other forms of data markup</li><li>Familiarity with critical concepts such as Python, scripting language, data structures etc</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy</li><li>Experience managing stakeholder relationships across departments</li><li>Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
 
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>

Agentic AI Teacher, AGI Data Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is looking for an AI Content Expert II 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. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts. 
 
Key job responsibilities 
As an AI Content Expert, 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. 
 
<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> 
A day in the life 
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. 
 
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience</li><li>2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.</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>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</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).</li><li>Experience with creating complex data for LLM training and evaluation</li><li>Strong understanding of U.S.</li><li>Comfortable with high</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> 
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>

AI Content Expert

iMerit Technology Services Pvt. Ltd

Position: Clinical AnnotatorRole/Experience/Education:<ul><li>12-month full-time contract position, annotating or labeling medical terms from different medical documents &amp; clinical encounters to produce a dataset for machine learning purposes.</li><li>Requires a degree in nursing, pharmacy, social work or medicine</li><li>One year of clinical experience is preferred.</li><li>Experience with medical billing and/or transcription of prescriptions/reports/other relevant medical documents a plus.</li><li>Passion for improving lives through healthcare &amp; a great work ethic.</li><li>Experience in reading clinical notes, extracting meaningful pieces of clinical information and coding medical terms to different medical ontologies. (SNOMED, LOINC, RxNorm)</li><li>Strong ability to understand the medical history of any patient.</li><li>Excellent English reading comprehension &amp; communication skills.</li><li>Computer Literacy</li><li>Ability to work night shifts</li><li>Okay to work from the office</li></ul>Benefits:<ul><li>Good Compensation</li><li>Exposure to working with innovative companies in healthcare &amp; AI</li></ul>Experience &amp; Education:<ul><li>Anyone holding a Basic bachelor or master&rsquo;s degree in Nursing/Pharmacy.</li><li>Strong English Language Skills.</li></ul>Passion for impacting lives and a great work ethicTO Apply fill this Application Form: https://forms.gle/DKjmNbheux1hFKeW7Job Types: Full-time, PermanentPay: &#8377;20,000.00 - &#8377;30,000.00 per monthBenefits:<ul><li>Life insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul>Application Question(s):<ul><li>Are you an Immediate joiner?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>total work: 1 year (Preferred)</li></ul>Shift availability:<ul><li>Night Shift (Required)</li></ul>Work Location: In person

Opportunity For Nursing & Pharma Graduates (1 Year Contract)

Write4u writing solutions

Job Title: Data Annotator (work from office)near Globsyn Crystal..Only fresher are welcomedAbout the Role:We are hiring Data Annotators to join our team for a long-term project. This role is ideal for freshers or candidates with up to 6 months of experience who have strong English communication skills and are eager to learn. You will play a key role in training AI/ML models by accurately labeling and annotating data.Key Responsibilities:<ul><li>Perform data labeling, tagging, and annotation tasks with high accuracy</li><li>Follow detailed guidelines and instructions carefully</li><li>Review and validate data to ensure quality and consistency</li><li>Maintain productivity and accuracy benchmarks set by the project</li><li>Collaborate with team members and report progress regularly</li></ul>Requirements:<ul><li>Freshers or candidates with 0&ndash;6 months of experience are welcome</li><li>Very good English knowledge (reading, writing, comprehension)</li><li>Strong attention to detail, patience, and focus</li></ul>What We Offer:<ul><li>Long-term project with consistent workflow</li><li>Exciting incentives and performance-based bonuses</li><li>Training and support for continuous skill development</li><li>Opportunity to build a career in the fast-growing AI &amp; Data Annotation industry</li></ul>Job Types: Full-time, FresherPay: &#8377;9,000.00 - &#8377;11,000.00 per monthWork Location: In person

Data Annotator

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