data annotator

Motive

<div><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.</div><div>
Lahore Onsite interview event will be hosted on the week of 20th October, the details will be shared during the recruiter screen. 
Location : (Lahore 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.
<h1 class="jobSectionHeader">
Responsibilities:</h1>
<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> 

<h1 class="jobSectionHeader">
During Probation, Expect To</h1>
<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> 

<h1 class="jobSectionHeader">
What We&rsquo;re Looking For:</h1>
<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></div><div> 
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. 

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.

#LI-Remote</div></div>

Data Annotator - ONSITE(Lahore)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is looking for an Data 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. 
 
Key job responsibilities 
As an Data 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: 
 
<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">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
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. 
 
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>

Data Annotator , AGI Data Services

Toloka Annotators

<div>Please submit your resume in English and indicate your level of English. 
 
At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.
What we do
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.
About the Role
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.
Responsibilities:
<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>Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.
Requirements<ul>
<li>
Bachelor&rsquo;s degree in any discipline</li>
<li>Minimum 1 year of experience in any professional role.</li>
<li>Advanced level of English (C1 or higher), 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>
Benefits
Why this freelance opportunity might be a great fit for you?
<ul><li>Get paid for your expertise, with rates that can go up to $6/hour depending on your skills, experience, and project needs.</li>
<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>

AI Trainer - Freelance Data Annotator

<div><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.</div>
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're looking for individuals who can empathize with users and work towards making their everyday lives easier. If you're analytical, detail-oriented, and organized, but also excited to roll up your sleeves and get your hands dirty, you'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.
<h1 class="jobSectionHeader">
Responsibilities:</h1>
<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> 

<h1 class="jobSectionHeader">
During Probation, Expect To</h1>
<ul><li>Participate in comprehensive training to understand Motive'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> 

<h1 class="jobSectionHeader">
What We're Looking For:</h1>
<ul><li>Bachelor'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><div> 
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.

#LI-Remote</div></div>

Data Annotator - ONSITE(Islamabad)

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