Senior Data Annotator Job at Randstad (Bangalore)

Senior Data Annotator

We are looking for an Intermediate Data Annotator to join our team in Bangalore....

Location

India , Bangalore

Salary:

Not provided

Randstad

Expiration Date

April 27, 2026

Requirements

5+ years of professional experience in data annotation, data validation, or a high-volume QA environment
Excellent command of the English language (written and verbal) is essential for documenting edge cases and communicating with technical teams
Ability to maintain a high level of accuracy and attention to detail during repetitive, high-volume tasks
Comfortable navigating new software programs and providing technical feedback on tool functionality
A proactive, quality-focused professional who is reliable and can work independently within a contract framework
Strong ability to manage multiple annotation sets and keep documentation organized

Job Responsibility

High-Fidelity Annotation: Perform complex labeling and tagging of text, image, and video datasets using specialized internal software
Engineering Feedback Loop: Provide structured, constructive feedback to our engineers to improve the UX of our labeling tools and the efficiency of the data pipeline
Process Ownership: Maintain full ownership of assigned annotation tasks, ensuring high data integrity and quickly adapting to changes in audit requirements or labeling guidelines
Issue Documentation: Proactively identify and report bugs or inconsistencies within annotation documents and internal tools to the development team
Cross-Functional Collaboration: Interact with Data Scientists and Data Engineers to improve data curation strategies and ensure "gold standard" quality across all datasets

Automotive Perception Data Annotator (In-Cabin AI)

We are seeking a highly skilled Automotive Perception Data Annotator to perform ...

Location

Sweden , Gothenburg

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Senior-level experience annotating automotive internal camera data (driver/passenger monitoring)
Proven expertise in driver behavior annotation: gaze tracking, hand steering-wheel interaction, head pose
Strong understanding of in-cabin occlusion patterns (dashboard, pillars, seat geometry)
Proficiency in 2D/3D bounding boxes and keypoint annotation for hands, faces, body joints
Familiarity with automotive safety-critical accuracy standards for perception systems
Self-sufficient execution of automotive-grade annotation workflows

Job Responsibility

Annotate dynamic data from internal cabin cameras, tracking driver, passenger, and object movements across sequential frames
Label hand positions on steering wheel, head pose, gaze direction, seat occupancy, and object interactions using keyframe-based labeling
Maintain persistent object IDs through vehicle-specific occlusions (A-pillars, dashboard, seat backs)
Process dynamic datasets from test vehicles (scaling from 1 to 10 production vehicles)
Deliver high-accuracy annotations for driver monitoring, occupant detection, and in-cabin behavior analysis
Work autonomously on safety-critical annotation tasks that directly feed Volvo's internal perception algorithms

What we offer

Critical role in developing Volvo's internal perception AI for ADAS and autonomous driving
Direct impact on safety-critical automotive systems
Opportunity to work with Volvo's internal perception datasets
Career development in automotive AI and perception annotation
Competitive compensation for specialized annotation expertise

Senior Data Scientist

In this vital role you will identify trends, root causes, and potential improvem...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s / Bachelor’s degree in Data Science, Statistics, Computer Science, Biomedical Engineering, or a related field and 8 to 12 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, Python)
Experience with data visualization tools like Square Two (S2), Spotfire, BioConnect, Tableau, Power BI, Smartsheet, or similar
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Experience in analyzing time-series data for forecasting and trend analysis
Experience with Data Bricks platform for data analytics
Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements
Fluency in verbal and written English to be able to understand & articulate technical concepts

Job Responsibility

Collect, clean, and run large datasets related to product performance and patient complaints
Ensure data integrity, accuracy, and accessibility for further analysis
Develop and maintain databases and data systems for storing patient complaints and product feedback
Analyze data to identify patterns, trends, and correlations in patient complaints and product issues
Use advanced statistical methods and machine learning techniques to uncover insights and root causes
Develop analytics or predictive models to foresee potential product issues and patient concerns to address customer needs and opportunities
Prepare comprehensive reports and visualizations to communicate findings to collaborators
Present insights and recommendations to multi-functional teams, including product development, quality assurance, and customer service
Collaborate with regulatory and compliance teams to ensure consistency to healthcare standards and regulations
See opportunities for product enhancements and process improvements based on data analysis

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Senior Data Scientist

M365 Copilot Cadets (Customer & Analytics‑Driven Eval Team) turns real‑world cus...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience
Experience with building data pipelines, performing large-scale analysis, and implementing ML workflows using Python and SQL
Experience in developing models or designing evaluation frameworks, including A/B testing or prompt-based assessments for LLMs
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Evaluation & Feedback Analysis: Convert multi‑source feedback (dogfood, VIP customers, production traces) into a prioritized dataset of 10–100 tasks per scenario, each with prompts and golden outputs
maintain a living failure taxonomy prioritized by volume × impact × fixability
Rubrics & LLM‑as‑Judge: Author crisp, binary‑first rubrics across 7–30 dimensions (e.g., correctness/completeness, refusal calibration, tool‑use quality, formatting/contract, persona/tone, trace hygiene)
Build grader prompts (with few‑shots and counter‑examples) that achieve ≥80% human‑match rate, track TPR/TNR on held‑out sets, and prevent reward hacking
Synthetic & Human‑Labeled Data: Design structured tuples to scale high‑signal synthetic data
orchestrate vendor/partner annotation sprints and live calibrations to align shared judgment
Ensure datasets are reproducible with linked artifacts and robust metadata/trace hygiene
Customer‑Grounded Scenarios: Partner with PMs/solution architects to co‑develop evals with VIP customers so tasks reflect real outcomes and workflows
quantify lift from fixes and inform the next hill‑climb
Team Leadership & Ways of Working: Co‑own the Cadets “feedback flywheel” with PM/Eng (instrumentation, taxonomy, guardrails vs. evaluators) and help operationalize weekly checklists, change logs, and judge refresh cadence

Fulltime

Tax Agent

Join our team as a Tax Agent and play a key role in ensuring accurate, compliant...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Certified tax agent with proven expertise in tax preparation and filing
Extensive experience reviewing tax forms and documentation
Strong written and verbal communication skills, with an emphasis on accuracy and clarity
Exceptional attention to detail and analytical abilities
Ability to work independently in a remote setting, managing deadlines and priorities
Solid understanding of current tax laws, codes, and best practices
Experience with data annotation or financial data management

Job Responsibility

Review and validate tax forms for completeness, accuracy, and compliance with current regulations
Prepare, process, and submit various tax filings on behalf of clients and the organization
Collaborate with juniors, providing guidance and reviewing their work to maintain quality standards
Maintain up-to-date knowledge of local, state, and federal tax codes and regulations
Communicate clearly and professionally with team members and stakeholders via written and verbal channels
Analyze and annotate financial data to support accurate tax reporting and filing
Identify and escalate discrepancies or potential issues to senior tax professionals or management

Fulltime

Senior Program Manager, Tech - Uber AI Solutions

At Uber AI Solutions, we deliver high-quality scaled programs in operations, tec...

Location

United States , San Francisco

Salary:

167000.00 - 185500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

7+ years of overall experience, with specific familiarity in ML operations, data annotation and AI infrastructure domains
Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation VLM, and robotics companies) for data annotation, training, evaluation and performance benchmarking
Experience in client-facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI/Science/Research teams
Familiarity with strategies for delivery and QA processes in this domain is required
Track record of driving innovation and thought leadership in AI training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends
Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
Ability to work in a global organization across locations and time zones

Job Responsibility

Client engagement for presales support - partner with Sales to interact with prospective clients (AI frontier labs, robotics & video generation companies in the physical AI space) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach
Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them to drive ongoing governance, enable troubleshooting, find up/cross-sell opportunities, bring thought leadership with client teams
Program delivery - help to manage the delivery of annotation, training & evaluation of AI models in the physical AI space
Innovation and thought leadership - demonstrate deep understanding and expertise of computer vision related AI training and evaluations including robotics, video synthesis, VLA, etc., with prospective clients
leverage this expertise to drive talent strategy, tech platform and tooling, and any other relevant new capabilities to advance the maturity of this area
Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling, and make it best in class
Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
Best practices - continually improve ways of work, enhance delivery maturity, elevate governance, and impact

What we offer

Eligibility to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits (details at provided link)

Fulltime

Sr Program Manager Tech - Gen AI

Lead program delivery and client engagement in the domain of AI training and eva...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

167000.00 - 185500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains
Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required
Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams
Familiarity with strategies for delivery and QC processes in this domain is required
Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services
Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
Ability to work in a global organization across locations and time zones

Job Responsibility

Client engagement for presales support - partner with Sales to interact with prospective clients to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach
Client engagement for program delivery - represent the service delivery organization and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams
Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required
Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI with prospective clients
Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals
Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking
Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Senior Expert for Industry Foundation Models

You drive the development of domain specific AI and shape the next generation of...

Location

Germany , Munich

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

Advanced degree in computer science, mathematics, data science, or a related field, or equivalent senior industry experience
Five to ten years of professional experience, including several years in advanced AI and technical leadership roles
Ability to translate complex technical concepts into AI strategies, products, roadmaps, and measurable impact
Deep expertise in foundation models, particularly multimodal and reasoning models, including adaptation and post training methods
Proven experience building large scale AI systems, including distributed training, high throughput inference, GPU acceleration, and cost optimization
Strong background in industrial or automotive data, processes, and IT systems
Excellent software engineering skills in Python and modern ML frameworks, with the ability to adapt to internal platforms and toolchains

Job Responsibility

You define the technical and business product vision and system architecture for Large Industry Models, covering model, data, and platform layers
You lead and technically mentor an engineering team building multimodal foundation model stacks, including language, vision, and action models
You guide core technical and architectural decisions, selecting and adapting foundation models and designing scalable AI systems
You develop a comprehensive industrial data strategy, including data sourcing, curation, annotation, and feedback loops
You ensure reliable delivery of LIMs into cloud production environments with strong MLOps, evaluation, safety, and compliance standards

What we offer

Challenging projects with which we shape the mobility of tomorrow together
Wide range of personal and professional development opportunities
Attractive, fair and performance-related remuneration
High level of job security
Annual special payments such as vacation pay, Christmas bonus, and profit sharing
Flexible working hours including six weeks annual leave and overtime compensation
Discounted BMW & MINI conditions

Fulltime

Senior Data Annotator

Randstad

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 16, 2026

Expiration:
May 07, 2026

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Senior Data Annotator

Randstad

Location:India , Bangalore

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:April 16, 2026

Expiration:May 07, 2026

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Job Posted:
April 16, 2026

Expiration:
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