Data labeling Job at Randstad (Pune)

Data Labeler

Figure is an AI Robotics company developing a general purpose humanoid. Our huma...

Location

United States , San Jose

Salary:

30.00 USD / Hour

Figure

Expiration Date

Until further notice

Requirements

Strong attention to detail and the ability to apply consistent logic across diverse scenarios
Comfortable navigating computer-based tools and quickly learning new software
Patient, quality-focused mindset with the ability to juggle multiple assignments
Clear written and verbal communication skills
Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment
Fluency in English required

Job Responsibility

Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots
Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency
Identify and flag ambiguous or edge-case scenarios for review by the ML team
Maintain high throughput and consistent quality across large annotation batches
Contribute feedback on workflow improvements and tool enhancements

Fulltime

Data Curator and Annotator

The Data Curator and Annotator will be responsible for curating, labeling, and m...

Location

Salary:

Not provided

ACI Infotech

Expiration Date

Until further notice

Requirements

Experience labeling or curating datasets for NLP or search
Familiarity with annotation tools such as Label Studio or Prodigy
Strong attention to detail and commitment to labeling consistency
Comfort working with enterprise domain data
Experience with QA processes for annotation quality
Strong written communication for guideline creation
Respect for privacy, security, and ethical data principles

Job Responsibility

Curate and label datasets for ML training and evaluation
Define annotation guidelines and quality control processes
Develop efficient labeling workflows with quality gates
Ensure privacy, security, and bias mitigation in datasets
Collaborate with engineers and data scientists to improve data utility
Build trusted evaluation datasets for ranking and RAG tasks

Fulltime

Sr. Program Manager, AI Data Operations

Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one o...

Location

United States , San Francisco; Sunnyvale

Salary:

167000.00 - 185500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

7+ years of program management experience, ideally in ML ops, data labeling, or human data operations
Proven track record managing multi-vendor operations or global labeling teams
Strong understanding of AI/ML lifecycle stages and the importance of annotated data quality
Experience defining SOPs, rubrics, audit mechanisms, and workflows for scalable data labeling
Proficient in project management tools
Strong analytical and communication skills
ability to synthesize feedback from ML, ops, and product stakeholders

Job Responsibility

Define the programs and its key objectives to support LLM model training
Drive cross-functional efforts across Operations, Product, Eng and Legal to define the Program-level Ops strategy
Define scalable data labeling workflows leveraging internal tools, external vendors, and automation
Shape task/ product/ feature launches and improvements
Lead cross-functional initiatives to build, scale, and optimize data annotation programs
Own program delivery across internal teams, vendor partners, and ML stakeholders
Define roadmaps, manage SLAs, create scalable processes, and resolve bottlenecks
Operational excellence - Define and drive end-to-end execution of large-scale annotation programs across multiple data types
Collaborate with ML, product, and data operations teams to scope and prioritize labeling needs
Own vendor engagement: onboarding, SLA management, training, and quality reviews

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

Data Scientist

Location

Salary:

Not provided

Ryz Labs

Expiration Date

Until further notice

Requirements

5+ years of experience in data science, machine learning, and AI model development
Proven experience with data ingestion, cleaning, and labeling, particularly with timestamped event data
Experience in developing and validating AI/ML algorithms, particularly for health applications (e.g. stress detection) and data characterization
Strong background in handling and analyzing biomarker and wearable sensor data, with a focus on time series data
Master's or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field
Expertise in time series analysis and techniques for physiological data from health apps and sensors
Knowledge of data visualization tools and techniques

Job Responsibility

Data Ingestion and Cleaning: Develop robust pipelines for ingesting data from various wearable sensors and health apps, focusing on time series physiological data. Ensure data quality through cleaning and preprocessing steps, including handling missing data, normalization, and labeling based on event timestamps
Time Series Analysis: Apply advanced time series analysis techniques to understand physiological patterns and detect anomalies related to stress. Collaborate with domain experts to ensure the biological relevance of the developed models
Stress Detection and Characterization: Design and implement algorithms to detect and characterize stress levels from time series biomarkers and wearable data. Integrate stress detection models to provide real-time insights and recommendations
Prototype Development: Create a functional prototype for stress detection and management, integrating AI/ML models with web or mobile applications. Test and validate the prototype using training data sets or real-world data, iterating based on feedback and performance metrics
Collaboration and Reporting: Work closely with the startup founder to align on project goals and deliverables. Prepare and present progress reports, findings, and recommendations

Data QA Specialist

As a Data QA Specialist, you’ll be responsible for reviewing and improving data ...

Location

United States , Palo Alto

Salary:

25.00 - 34.00 USD / Hour

1X Technologies

Expiration Date

Until further notice

Requirements

Strong attention to detail and ability to identify subtle errors or inconsistencies in visual or sequential data
Experience in data review, data labeling, QA, robotics, or a technical operations environment
Ability to stay focused and accurate while performing repetitive review tasks
Comfortable using internal tools, dashboards, and software systems to review high volumes of data
Strong written and verbal communication skills in English
Proactive mindset with a sense of ownership over data quality and follow-through on open issues
Ability to adapt in a fast-paced environment while managing multiple priorities
Familiarity with QA, documentation, or issue-tracking tools (e.g., Jira, Confluence)

Job Responsibility

Review robot and operator collected data to ensure it meets internal quality and completeness standards
Identify, trim, fix, or refine low-quality or incomplete data where possible
Clearly document reasons for rejected or low-quality data and provide actionable feedback
Flag unclear, inconsistent, or edge-case data for review with QA or AI teams
Maintain high accuracy and consistency while meeting daily and weekly review targets
Track recurring data issues or patterns to help identify gaps in data collection
Identify and report tooling bugs, and suggest improvements to QA workflows
Collaborate with operations and QA leadership to ensure data standards are understood and followed

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Gen AI Solution Developer

The Markets Intelligence team focuses on developing commercial insights from int...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced expertise in machine learning, deep learning, and artificial intelligence, with a proven track record of developing complex AI-driven solutions
Strong proficiency in Python, preferred experience in web frameworks like FastAPI or Flask
Proven experience building or designing chatbots (a portfolio or links to examples are highly encouraged)
Demonstrated ability to effectively communicate and collaborate with technical and non-technical stakeholders (e.g., Sales, Trading, MQA)
Markets experience highly preferred
Deep familiarity with prompt engineering, context window optimization, and evaluation frameworks
Good understanding of agentic architectures, including planning, reasoning, and multi-agent collaboration, preferred knowledge in LangChain, LangGraph etc.
Experience integrating chatbots or AI systems into CRM systems, websites, or mobile applications
Knowledge of AI/ML pipelines or data labeling processes
Experience in Data Analytics and its distribution via Chatbots.

Job Responsibility

Collaborate cross-functionally with diverse teams including Sales, Trading, Market Quantitative Analysis (MQA), and Technology to design, develop, deploy, and manage the full lifecycle of Generative AI chatbot solutions
Design and implement chatbot flows, scripts, and user interactions across platforms (e.g., internal messaging apps)
Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines using embedding models, vector databases, and context management techniques
Build and utilize agentic frameworks that enable multi-step reasoning, planning, and tool orchestration for end-to-end AI workflows
Integrate chatbots and AI pipelines with a variety of data sources, including structured (SQL, APIs, CRMs) and unstructured (text, PDFs) back-end systems
Use data analysis to create better models of human behavior and other complex systems
Stay current with the evolving Gen AI ecosystem, including AI/ML trends and best practices in conversational design and automation.

Fulltime

New

Data entry employee - german speaking

As a Data Associate, you'll play a vital role in shaping the future at Amazon. T...

Location

Netherlands , 's-Gravenhage

Salary:

2730.00 EUR / Month

Randstad

Expiration Date

May 06, 2026

Requirements

Fluency in German and English
Great analytical and problem-solving skills
Experience with various data types (text, speech, audio, image, video)
Ability to work independently and as part of a team

Job Responsibility

Label data according to provided guidelines, using in-house tools
Maintain strict confidentiality and adhere to Amazon's data security policies
Analyze data, identify patterns, and propose solutions to improve data quality
Collaborate with team members to meet daily operational deliverables
Contribute to process improvement by identifying and suggesting solutions to operational issues

What we offer

Full public transport reimbursement
Bike plan
10% Amazon discount
Pension scheme

AI/ML Developer Evangelist

You will be Encord’s first ML Developer Evangelist hire. As an AI/ML Developer E...

Location

United States , San Francisco

Salary:

75000.00 - 120000.00 USD / Year

Encord

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or a related field
previous experience working as a Machine Learning or Computer Vision Engineer or building machine learning models
a self-starter who wants to forge your own career path
confident in being the engineering face of a rapidly growing business
a desire to grow your own personal brand within AI/ML communities

Job Responsibility

Advocating for Encord within developer communities, fostering relationships with developers, and promoting the adoption of best practices
Leading research and content development on the latest updates and trends in AI/ML including foundational model releases
Creating engaging technical content, and organizing hands-on webinars to assist developers in developing performant models
Showcasing best practices in data curation, data labeling, label validation, and model evaluation
Leading the Encord community and responsibility for the structure of and engagement within the community
Working closely with internal teams to gather feedback and insights from the developers, contributing to the enhancement of Encord’s products and services

What we offer

Competitive salary and equity in a hyper-growth business
Strong in person culture
18 days annual leave a year + public holidays

Fulltime

Data labeling

Randstad

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 19, 2026

Expiration:
March 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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