Cultural Data Annotator Job at One Forma (Singapore)

AI Content Expert

Amazon is looking for an AI Content Expert II to help with annotations, content ...

Location

Netherlands , Den Haag

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

High-School or equivalent diploma
Proven experience working with written language data, including experience with annotation, and other forms of data markup
Strong proficiency in Dutch and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)
Strong understanding of Dutch and U.S.-based culture, society, and norms
Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources
understanding of basic academic integrity, i.e. plagiarism
Excellent attention to details and ability to focus for a long period of time
Comfortable with high-school level STEM
Ability to effectively write and evaluate diverse subject matter across various domains
Ability to adapt writing style to suit various style guidelines and customers

Job Responsibility

Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
Performing audits and quality checks of tasks completed by other specialists, if required
Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
Diving deep into issues and implementing solutions independently
Identifying and reporting tooling bugs and suggesting improvements

What we offer

Diverse team, regular meetings, trainings, and Amazon events throughout the year

Member of Technical Staff - Pretraining Text Data

We are seeking engineers and researchers to join our Pretraining Text Data team,...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
Proficiency in statistics and exploratory data analysis methods.

Job Responsibility

Create high-quality datasets for training and evaluation
run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
Embody our culture and values.

Fulltime

Software Engineer, Machine Learning

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to j...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of industry experience in software engineering
3+ years focused on applied machine learning or AI
Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring
Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost
Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality
Experience mentoring or leading others and contributing to a culture of technical excellence and innovation

Job Responsibility

Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features
Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows
Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance
Work with product engineers to define and deliver impactful AI features across Figma’s platform
Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment
Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Computational Linguist

We are looking for a Computational Linguist (Portuguese) with a strong backgroun...

Location

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

Ability to work EU shifts remotely
Native speaker of Portuguese with strong command of English
Bachelor’s or Master’s degree in Linguistics, Computational Linguistics, Cognitive Science, or similar
Understanding of phonetics, phonology, syntax, and semantics
Comfortable working with structured data formats (JSON, XML, CSV)
Familiarity with Python, command line interfaces (CLI), or Unix environments
Strong analytical mindset and attention to linguistic detail
Ability to work independently and meet deadlines in a data-driven environment

Job Responsibility

Analyze and interpret linguistic and phonological data using internal tools and scripts
Run automated and manual quality checks on model outputs
provide data-driven insights
Review and annotate Portuguese content for linguistic accuracy, cultural nuance, and consistency
Support dataset creation, cleaning, and formatting for machine learning workflows
Collaborate with technical teams to refine evaluation metrics and data pipelines
Document linguistic findings and create reproducible analysis reports

What we offer

Competitive pay
Comprehensive benefits
Opportunities for continuous learning and career growth
Flexible work arrangements
Dynamic, results-driven environment

Fulltime

Member of Technical Staff - Post-Training

This Microsoft AI Superintelligence Post-Training team is dedicated to advancing...

Location

United States , Redmond

Salary:

84200.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree (complete or in progress) in relevant field AND 3+ months related research internship experience OR Master's Degree in relevant field OR equivalent experience
Software engineering skills with fluency in Python and modern data libraries
The ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Member of Technical Staff - Post-Training

This Microsoft AI Superintelligence Post-Training team is dedicated to advancing...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field OR equivalent experience
Software engineering skills with fluency in Python and modern data libraries
The ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Member of Technical Staff

The Microsoft AI Superintelligence (MAIST) Post Training team is dedicated to ad...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in relevant field AND 1+ year(s) related research experience OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Head of Quality, AI Business

As Head of Quality, AI Data, you will own the systems that turn messy human and ...

Location

Mexico , Mexico City

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

8–12+ years of experience in quality, data operations, trust and safety, or ML evaluation, with 3+ years leading managers or senior leads
Proven experience running quality programs across globally distributed teams and multiple regions
Strong statistical intuition (sampling, agreement, bias/variance) and comfort working with quality data
Fluency with SQL and dashboards
working knowledge of Python or R for analysis or automation
Deep understanding of human-in-the-loop systems and how data quality impacts model behaviour
Strong judgment balancing speed, cost, and quality, and the ability to make trade-offs explicit
Clear, confident communication with both engineers and executives

Job Responsibility

Set the global quality strategy across annotation, human feedback, model evaluation, red-teaming, and multilingual data
Define and enforce quality standards, acceptance criteria, and playbooks across project and pipeline types
Own the quality measurement system, including sampling strategies, agreement metrics, defect taxonomies, and drift detection
Lead a globally distributed quality organisation and design operating rhythms that work asynchronously across regions
Ensure quality is embedded from project kickoff through delivery, including audits, remediation loops, and root-cause analysis
Act as the senior quality partner for customers, clearly explaining methodology, results, risks, and improvement plans
Partner with Product, Engineering, and Operations to embed quality into tooling, workflows, and automation
Hire, develop, and lead quality managers and senior individual contributors, building a culture of rigor and accountability

What we offer

competitive salary
equity
benefits
remote working
impactful, mission-driven culture
opportunity to earn a cash variable element, such as a bonus or commission

Select Country

Cultural Data Annotator

Job Description

Job Responsibility

Requirements

Looking for more opportunities?