Data Labeler Job at Figure (San Jose)

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

Data Operations

Our Data Ops team partners with Research to answer two core questions: What data...

Location

United Kingdom

Salary:

Not provided

ElevenLabs

Expiration Date

Until further notice

Requirements

Passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech
Highly motivated and driven individual with a strong work ethic
Analytical, efficient, and strive on solving complex challenges with a first principles mindset
Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations
Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside
Strong attention to detail
People skills – comfortable providing feedback and keeping large teams moving along to meet deadlines

Job Responsibility

Own the end-to-end lifecycle of data acquisition and labeling operations
Translate research needs into clear data specifications and labeling workflows
Manage external data vendors
Ensure datasets are delivered on time and to high quality standards
Oversee both in-house and third-party labeling teams — setting guidelines, prioritizing work, implementing QC processes, and monitoring throughput and performance
Help scale our operations by improving tooling and processes
Support the hiring, training, and development of a high-performing labeling workforce

What we offer

Innovative culture
Growth paths
Learning & development: annual discretionary stipend
Social travel: annual discretionary stipend to meet up with colleagues
Annual company offsite
Co-working: monthly co-working stipend

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 annotator - junior

Take on data annotation and validation tasks to help train machine learning algo...

Location

Salary:

Not provided

Randstad

Expiration Date

April 27, 2026

Requirements

1-3 years of experience
Communicate clearly using excellent written and verbal skills
Must be reliable, proactive, committed and quality focused
Ability to understand and apply guidelines for data labelling
Ability to perform repetitive tasks while paying close attention to detail
Good organizational skills
Good at English language

Job Responsibility

Annotate and label text, image and video data via computer using various internal software programs
Provide constructive feedback to our engineers on tooling and processes for more efficient labelling, and to improve data quality
Maintain ownership of each annotation assignment and respond to any changes in procedure and auditors
Report and document issues with tools and annotation documents to the development team when necessary
Interact with data science and data engineering teams to improve data quality and the processes for data management and curation

Data Entry Clerk

AI is the most transformational technology of our time, capable of tackling some...

Location

Netherlands , Den Haag

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
Speak, write, and read fluently in German

Job Responsibility

Maintain and follow strict confidentiality as customer privacy is our most important tenet
Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly
Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio
Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
Eye for detail and ability to pivot from one category of requirement to another instantaneously
Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
Demonstrate ownership in floor support to clarify internal queries during execution on need basis

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

AI Data Associate with French, Artificial General Intelligence – Data Services

AI is the most transformational technology of our time, capable of tackling some...

Location

Jordan , Amman

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

An Associate’s Degree or related work experience
Good working knowledge (B1+) in both spoken and written English
C1+ or equivalent fluency in French language
Strong business writing skills with ability to create reports, proposals, and professional correspondence
Advanced reading comprehension with ability to analyze complex business documents
Developed analytical thinking and structured problem-solving capabilities
Strong ability to interpret and implement detailed instructions across various projects
Proficient research skills with experience gathering and synthesizing information from multiple sources
Proven attention to detail in managing complex tasks and documents

Job Responsibility

Maintain and follow strict confidentiality as customer privacy is our most important tenet
Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly
Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio
Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
Eye for detail and ability to pivot from one category of requirement to another instantaneously
Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
Demonstrate ownership in floor support to clarify internal queries during execution on need basis

Data Labeler

Figure

Location:
United States , San Jose

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 08, 2025

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Job Responsibility:

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