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ai data scientist & annotation expert Jobs in Islamabad

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data annotator - onsite(islamabad) Jobs in Islamabad

data annotator - onsite(islamabad)

data annotation intern

Value Engineering

Location: Onsite, Night Shift, Bahria Phase 4 Rawalpindi Internship Duration: 3 Months (Extendable upon performance) Qualification: Bachelor&rsquo;s Degree (Completed any discipline) Apply at: career@thevalueengineering.comPosition Overview:We&rsquo;re looking for detail-oriented and tech-savvy individuals to join our AI/ML Data Team as Data Annotation Interns. In this role, you&rsquo;ll play a key part in preparing and labeling data used to train artificial intelligence models the foundation of every smart system!Key Responsibilities:<ul><li>Accurately label and categorize images, text, and other data types.</li><li>Ensure high-quality and consistent annotations across large datasets.</li><li>Collaborate with the AI/ML team to understand data requirements.</li><li>Review and verify data accuracy to maintain quality standards.</li><li>Learn and adapt to new annotation tools and guidelines.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree (completed in Computer Science, Software Engineering, or any related field).</li><li>Strong attention to detail and ability to work with repetitive tasks.</li><li>Basic computer literacy and familiarity with digital tools.</li><li>Eagerness to learn about AI, data, and machine learning.</li><li>Team player with a positive attitude and willingness to grow.</li></ul>Why Join Us:<ul><li>Gain hands-on experience in the world of AI and data science.</li><li>Learn industry tools and workflows from experienced mentors.</li><li>Opportunity to extend internship or grow within the organization.</li></ul>Job Type: Internship Contract length: 3 monthsPay: Rs20,000.00 - Rs25,000.00 per monthApplication Question(s):<ul><li>Have you completed your Degree?</li><li>Are you comfortable commuting to bahria phase 4 rawalpindi?</li></ul>Work Location: In person

Data Annotation Intern

Position: AI Data Scientist &amp; Annotation ExpertLocation: On-site, Night Shift, Bahria Phase 4 RawalpindiEmployment Type: Full-timeAbout the RoleWe are looking for a skilled AI Data Scientist &amp; Annotation Expert to drive the full lifecycle of AI/ML solutions &mdash; from data collection and annotation through advanced model development, training, and deployment. The role combines hands-on annotation expertise (critical for building high-quality training datasets) with data science and machine learning skills to ensure robust, production-ready AI systems.You will play a central role in curating high-quality datasets, experimenting with algorithms, and ensuring model performance by leveraging both advanced data science techniques and precise annotation workflows.Key ResponsibilitiesData Science &amp; Machine Learning<ul><li>Design, build, and evaluate machine learning/deep learning models for NLP, Computer Vision, or multimodal tasks.</li><li>Perform feature engineering, exploratory data analysis (EDA), and statistical modeling.</li><li>Experiment with different model architectures (CNNs, RNNs, Transformers, LLMs) and optimize hyperparameters for maximum performance.</li><li>Develop and deploy scalable ML pipelines in production (using FastAPI, TensorFlow Serving, TorchServe, or containerized environments).</li><li>Collaborate with engineers and product teams to integrate models into end-user applications.</li></ul>Data Annotation &amp; Curation<ul><li>Design annotation workflows and guidelines for various data types (images, PDFs, audio, video, and text).</li><li>Perform and manage manual and semi-automated annotation tasks (e.g., bounding boxes, polygons, segmentation masks, labeling, and text tagging).</li><li>Implement quality control measures to ensure annotations meet accuracy and consistency standards.</li><li>Train and supervise annotation teams, providing feedback and ensuring adherence to project requirements.</li><li>Work with annotation tools (e.g., Label Studio, CVAT, Supervisely, Prodigy, Labelbox).</li><li>Assist in building gold-standard datasets that serve as the foundation for AI/ML training.</li></ul>MLOps &amp; Data Ops<ul><li>Set up pipelines for dataset versioning, experiment tracking, and model reproducibility (using MLflow, DVC, or similar).</li><li>Monitor dataset drift, class imbalances, and annotation consistency to avoid bias in models.</li><li>Collaborate with DevOps teams for deployment, scaling, and monitoring of AI models.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related field.</li><li>Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods.</li><li>Hands-on experience with data annotation platforms (Label Studio, CVAT, or similar).</li><li>Familiarity with SQL/NoSQL databases and big data handling.</li><li>Strong understanding of data preprocessing (cleaning, augmentation, normalization, and transformation).</li></ul>Preferred Skills<ul><li>Prior experience in annotation team management or data labeling quality assurance.</li><li>Knowledge of vector databases (pgvector, Pinecone, Weaviate, Chroma) for AI-driven search and RAG pipelines.</li><li>Experience with MLOps tools (Airflow, Kubeflow, MLflow).</li><li>Knowledge of annotation automation using weak supervision, active learning, or semi-supervised learning techniques.</li><li>Understanding of ethical AI practices, bias detection, and responsible dataset curation.</li></ul>Soft Skills<ul><li>Exceptional attention to detail and accuracy in handling data.</li><li>Ability to train, mentor, and guide annotation teams.</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication for both technical and non-technical audiences.</li><li>Self-driven, proactive, and collaborative mindset.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>are you comfortable working night shift?</li><li>Are you comfortable commuting to Bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

AI Data Scientist & Annotation Expert

T-Tech Solutions Pvt Ltd

We are looking for a talented *Computer Vision Engineer* to join our AI &amp; Security Solutions team. The ideal candidate will have experience in *CCTV and live video processing, model training, and face recognition systems*. You will work on developing, optimizing, and deploying AI-driven solutions that enhance surveillance, security, and real-time video analytics.*Key Responsibilities:* Develop and deploy *computer vision models* for CCTV and live footage analysis.* Train and fine-tune *face recognition models* using large datasets.* Build real-time video processing pipelines for object detection, tracking, and recognition.* Integrate AI models into *security systems and surveillance platforms*.* Optimize performance using *GPU acceleration (CUDA, TensorRT)* for live inference.* Collaborate with DevOps and software teams to ensure smooth model deployment.* Work with libraries and frameworks such as *OpenCV, TensorFlow, PyTorch, YOLO, DeepFace.* Implement video data preprocessing, annotation, and augmentation pipelines.* Ensure security, privacy, and compliance in handling sensitive video data.* Research and implement the latest advancements in *AI, deep learning, and video analytics.*Requirements:** Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.* *2+ years of hands-on experience* in computer vision and deep learning.* Strong knowledge of *OpenCV, TensorFlow, PyTorch, YOLO, or similar frameworks*.* Experience with *face recognition, object detection, and video analysis*.* Proficiency in Python and libraries like NumPy, Pandas, scikit-learn.* Experience in working with CCTV/live video streams.* Familiarity with Docker/Kubernetes for model deployment.* Understanding of GPU computing (NVIDIA CUDA, cuDNN).* Knowledge of data annotation and preprocessing techniques.Preferred Skills:* Experience with edge AI and IoT camera integration.* Knowledge of cloud-based AI services (AWS Recognition, Azure Face API, Google Vision AI).* Familiarity with real-time streaming protocols (RTSP, WebRTC).* Exposure to security &amp; surveillance industry standards.Job Type: Full-timePay: Rs35,000.00 per monthWork Location: In person

Computer Vision Engineer (CCTV & Face Recognition)

HR POD Careers

<div>
 
 Requirements:
 
 
 
 <ul>
 <li>
 5+ years of experience in computer vision or related fields, with a proven track record of building and deploying algorithms for real-time applications (e.g., object detection, tracking, or segmentation).
 </li>
 <li>
 Expert proficiency in Python and computer vision/ML frameworks (e.g., OpenCV, TensorFlow, PyTorch, YOLO, Detectron2).
 </li>
 <li>
 Strong expertise in designing and optimizing real-time computer vision algorithms, with a focus on performance in resource-constrained environments.
 </li>
 <li>
 Hands-on experience with ML Ops practices, including model deployment, containerization (Docker), orchestration (Kubernetes), and CI/CD pipeline development.
 </li>
 <li>
 Deep understanding of machine learning and deep learning concepts, including CNNs, transformers, and optimization techniques.
 </li>
 <li>
 Proficiency with version control systems (e.g., Git) and software engineering best practices.
 </li>
 <li>
 Ability to lead complex projects, solve technical challenges, and collaborate effectively in a fast-paced, mission-driven environment.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, GCP, Azure) for scalable model deployment and data processing.
 </li>
 <li>
 Willingness to participate in occasional on-call support for mission-critical systems.
 </li>
 <li>
 Experience with real-time data processing, edge computing, or IoT systems, particularly for camera-based applications.
 </li>
 <li>
 Familiarity with advanced computer vision techniques, such as multi-object tracking, 3D reconstruction, or low-light image processing.
 </li>
 <li>
 Background in traffic safety systems, smart city technologies, or autonomous vehicle perception systems.
 </li>
 <li>
 Expertise in managing large-scale image or video datasets, including data annotation pipelines.
 </li>
 <li>
 Knowledge of hardware optimization for computer vision (e.g., NVIDIA Jetson, TensorRT, or embedded systems).
 </li>
 <li>
 Contributions to open-source computer vision or ML Ops projects.
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Architect and build high-performance computer vision algorithms for real-time detection of traffic violations (e.g., speeding, lane violations, stop sign running) and scene analysis, ensuring accuracy and low latency.
 </li>
 <li>
 Develop and optimize end-to-end computer vision pipelines, from image preprocessing and model training to inference and deployment, using frameworks like OpenCV, TensorFlow, PyTorch, or ONNX.
 </li>
 <li>
 Lead ML Ops efforts, including model deployment, versioning, monitoring, and performance optimization, using tools like Docker, Kubernetes, and CI/CD pipelines.
 </li>
 <li>
 Collaborate with hardware engineers, backend developers, and data scientists to integrate computer vision models with IoT camera systems and cloud-based infrastructure.
 </li>
 <li>
 Design and implement scalable data preprocessing and annotation workflows to ensure high-quality datasets for training robust vision models.
 </li>
 <li>
 Mentor junior engineers, conduct code reviews, and enforce best practices for building maintainable, high-performance AI systems.
 </li>
 <li>
 Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability and performance.
 </li>
 <li>
 Contribute to system architecture decisions, balancing trade-offs between accuracy, speed, and resource constraints for real-time applications.
 
 </li>
 </ul>
</div>

Senior Computer Vision Engineer (Onsite, Islamabad, USD Salary)

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 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.
<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(Islamabad)

Jantrah Tech Private Limited

Jantrah Tech is seeking a highly motivated and detail-oriented intern to join our team as a Go High Level (GHL) Intern. This internship offers a unique opportunity to gain hands-on experience and contribute to our team's success.Responsibilities:- Assist in managing and optimizing GHL campaigns- Develop skills in GHL tools and features- Collaborate with team members to achieve project goals- Learn and adapt to our company culture and processesRequirements:- Basic knowledge of GHL tools and features (or willingness to learn)- Strong communication and teamwork skills- Ability to learn quickly and adapt to new tasks- Familiarity with CRM software and marketing automation- Experience with data analysis and reporting (an asset)How to Apply:If you're a motivated and enthusiastic individual looking to gain experience, please submit your resume at hr@jantrah.com or WhatsApp at 0311 5254544Job Type: Internship Contract length: 6 monthsPay: Up to Rs10,000.00 per monthWork Location: In person

(GHL) Go high level intern

<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>
Job Description:

We are seeking a &ldquo;Team Lead&rdquo; to join our Annotation&rsquo;s Leaderboard. You will be overseeing and managing the individuals working on Video Annotation. You will be taking charge of daily leadership and supporting a team of 10 -20 members.

You will aim to exceed our leadership&rsquo;s performance and quality standards rather than just meeting expectations. Your role is multifaceted, encompassing team leadership, project management, quality assurance, and continuous process improvement. You will oversee the day-to-day operations of the assigned POD, ensuring the delivery of accurate and consistent annotations within SLA while fostering a culture of excellence, collaboration, and innovation.

It will be your responsibility to keep an eye on the daily operational metrics. Your skillful performance at managing tasks ranges from weekly meetings to one-on-one meetings with the members.

You will also be working with various stakeholders to ensure the team&rsquo;s productivity, quality, and accuracy of the annotated data, ultimately contributing to our team&rsquo;s success. If you are self-motivated and have a knack for leadership, we encourage you to apply for this role. 
 
 
<h1 class="jobSectionHeader">Responsibilities:</h1>
<ul><li>Product Oversight: Having insight into the products and projects and alignment with the product or project goals of the company. Assessing the scalability of annotation processes and working with your team to find ways to improve efficiency without compromising quality.</li>
<li>Create an inspiring team environment: Managing a team of up to 20 employees (called a POD). Keeping their morale and motivation high and truly being there for them in their need. This also includes ensuring a strong pod culture where everyone&rsquo;s ideas are respected and heard.</li>
<li>Effective Communication Skills: Conducting weekly sessions with the entire POD and biweekly sessions with individual team members. Exceptional verbal, written, and interpersonal communication skills and strong follow-ups.</li>
<li>Stakeholder Communication: You&rsquo;ll be working with Product, Engineering, and R&amp;D on side projects. You&rsquo;ll be getting in-depth knowledge of the product and processes and you are responsible for translating the relevant information to your POD members.</li>
<li>Hierarchical communication &amp; collaboration: Collaborating with the team Coordinator to discuss team performance, performance metrics, and team member issues, ensure that things run smoothly.</li>
<li>Training and development: Identify the training needs and assist every POD member.</li>
<li>Team performance assessment: Assessing individual performance of team members and overall performance of the team/POD. Accountable for driving your team's performance to consistently meet or exceed quota and activity expectations.</li>
<li>Two-way feedback: Gathering feedback and ideas from team members about new additions or changes to the pre-existing processes. This will help ensure continuous improvement in processes. Build and maintain a productive and Fun Team.</li>
<li> Organizing/managing social activities for/with team members. Ensuring a healthy team environment with team bonding activities and fun.</li>
<li>Helpfulness &amp; approachability: Help and resolve problems of team members. Conflict resolution, if one ever arises. Should be passionate about people management and have a keen eye for understanding motivation and drive within others.</li>
<li>Work under pressure: Ability to work under pressure, managing multiple projects in parallel, often under tight deadlines.</li>
<li>Leave Management: The processes and policies of managing employee time-off requests, such as vacation, holidays, sick leave, and parental leave.</li>
</ul>
What We&rsquo;re Looking For:
<ul>
<li>Preferable - BS in Engineering (Computer Science, Information Systems, or related field) and/or Business.</li>
<li>Previous experience in a similar role, ideally with a background in product or project management.</li>
<li>Knowledge of SQL and G Suite.</li>
<li>Strong knowledge of the company's products and processes.</li>
<li>Ability to translate and communicate complex information to team members.</li>
<li>Must be a people person, with thorough troubleshooting skills.</li>
<li>Possess excellent leadership skills and people management skills Organizational, time management, and decision-making skills.</li>
<li>Effective team-building and morale-boosting capabilities.</li>
<li>Empathy and the ability to understand and motivate team members.</li>
<li>Exceptional verbal and written communication skills.</li>
<li>Strong analytical and interpersonal skills.</li>
<li>Ability to provide strong follow-up and feedback to team members.</li>
<li>Strong time management and stress management skills.</li>
<li>Must possess a diagnostic approach to assist our internal stakeholders.</li>
<li>Ability to think out of the box.</li>
<li>Ability to manage multiple high-priority tasks simultaneously and work independently with limited supervision.</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>

Team Lead, Annotations- ONSITE(Islamabad)

Explore 412+ Data annotation intern in Islamabad this October. Find roles across top companies and apply now to boost your career.