Data Annotator - ONSITE(Lahore) at Motive

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Attention To Detail, Organizational Skills, Data Analysis, Customer-Centric Mindset, Collaboration, Time Management, Annotation Methodologies, Machine Learning, AI, Risk Identification, Deep Learning Models, Confidentiality, Process Improvement, Training Datasets, Product Development, Safety Features

Industry

Advertising Services

Description

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 – from Fortune 500 enterprises to small businesses – 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 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’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 & 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: Review and annotate images and video data to support AI and safety features. Identify and tag risks using both contextual knowledge and standardized instructions. Analyze data and participate in process pilots to enhance products. Maintain high standards of tagging accuracy and SLA compliance. Collaborate with Product and R&D teams to generate high-quality datasets. To be comfortable working on multiple projects and tools, along with time management. Provide feedback for existing processes and tools that help in improving the accuracy and quality of deep learning models, considering customer demand. Uphold confidentiality and compliance with company standards. During Probation, Expect To Participate in comprehensive training to understand Motive’s products, in-house projects, workflows, and company values. Integrate with the team and develop knowledge of work ethics and product features through hands-on experience and collaboration. Undergo regular performance reviews focused on meeting defined KPIs for annotation quality, accuracy, productivity, and process adherence. Receive feedback and coaching to improve multitasking abilities and deliver consistently high-quality results. 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. What We’re Looking For: Bachelor’s degree in Computer Science, IT, Management, Business, or a related discipline. Up to two years of relevant experience, suitable for entry-level and early-career professionals. Demonstrates attention to detail, strong organizational skills, and an eagerness for continuous growth. Basic understanding of G-Suite preferred. Approaches problem-solving and execution with a customer-centric mindset. Shows genuine interest in learning annotation methodologies and exploring the use of AI and machine learning within the trucking sector. Capable of effective collaboration and coordination within a dynamic, onsite team operating 24/7/365. Proactively takes ownership of responsibilities and adapts well to working on multiple projects and annotation tools simultaneously. 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

Responsibilities

The role involves reviewing and annotating images and video data to support AI and safety features, as well as identifying and tagging risks. Additionally, the position requires collaboration with Product and R&D teams to generate high-quality datasets and improve user experience.