Data Curator and Annotator Job at ACI Infotech

AI Data Manager

This is not a standard data management role; it’s a rare opportunity to be at th...

Location

United States , Palo Alto

Salary:

140000.00 - 260000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

2+ years of hands-on experience in AI data operations, human data annotation, or a similar data-centric role within a top-tier AI company
direct experience translating complex researcher needs into effective data curation and annotation workflows
highly adaptable and thrive on cross-functional collaboration, with a proven ability to work across a comprehensive data pipeline, not just within a single vertical like human annotation
experience working with vision or multimodal data pipelines
a hands-on individual contributor who is driven by the work, not by people management

Job Responsibility

Translate researcher needs into actionable data annotation and curation strategies for our SOTA vision, 3D, and audio models
own and manage end-to-end data pipelines and annotation workflows, collaborating with external partners and labeling teams to ensure the highest quality data
provide horizontal management across multiple data pipelines, ensuring consistency and quality as we expand into new modalities
develop innovative data curation strategies, working with a diverse mix of human-annotated, raw, and synthetic data to solve complex model challenges
partner directly with researchers to diagnose model performance issues and propose data-driven solutions to improve results
define the standards for data quality and annotation excellence, establishing the foundation for how Luma scales its data operations

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

Research Intern - GenAI

Appen is seeking Research Interns to support innovative research in Generative A...

Location

Australia , Chatswood, Sydney

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred
strong final-year and recent undergraduate candidates in these fields will also be considered
Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning
Experience with data annotation, model evaluation, or prompt engineering
Understanding of multilingual NLP, speech technologies, or agentic AI systems
Strong written communication skills, especially for summarizing research and drafting technical content
Ability to work independently and collaboratively in a remote research environment

Job Responsibility

Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI
Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data
Support model evaluation experiments, including prompt engineering and red teaming
Develop scripts and tools for data analysis, visualization, and automation
Contribute to internal documentation, research reports, and thought leadership content
Participate in team meetings and cross-functional collaborations
Help prepare materials for conferences, publications, and workshops

What we offer

Hands-on experience in applied AI research with real-world impact
Mentorship from experienced researchers and exposure to industry workflows
Opportunities to contribute to publications, datasets, and thought leadership
A collaborative and inclusive research environment

New

Metabolomics Scientist

Join Enveda as a Metabolomics Scientist in Boulder, CO, and help us transform na...

Location

United States , Boulder

Salary:

131000.00 - 140000.00 USD / Year

Enveda

Expiration Date

Until further notice

Requirements

PhD in chemistry or a related scientific discipline with 2+ years of experience in LC-MS-based metabolomics
Strong expertise in metabolite annotation and identification
Proficiency with one or more metabolomics data processing tools (e.g., MZmine, XCMS, MS-DIAL, MetaboScape)
Hands-on experience with large-scale metabolomics studies, ideally involving human biospecimens

Job Responsibility

Serve as a subject-matter expert in metabolite annotation and identification from LC-MS-based metabolomics data
Lead follow-up investigations on mis-annotations and unknown features
Build, curate, and maintain internal spectral libraries to strengthen metabolite annotation capabilities
Contribute to data QC, review, and troubleshooting, helping to continuously improve robustness and reproducibility of the platform

What we offer

90% Medical, Dental, Vision
401k Match
Flexible PTO
Adoption Assistance

Fulltime

Head of Delivery Operations, DaaS

We are seeking a Head of Delivery Operations to lead and scale our Delivery Oper...

Location

United States , New York City; Redwood City; San Francisco

Salary:

200000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

8+ years of experience in Delivery Operations, Data Operations, Program Management, or equivalent roles, ideally within high-growth B2B SaaS, DaaS, or services-led technology organizations
3+ years managing people or teams
Demonstrated success building operational rigor in unstructured, fast-scaling environments, including designing SOPs, operating models, and execution frameworks from first principles
Proven people leadership experience, including building and managing high-performing teams, developing managers, and overseeing large contractor or distributed workforces
Strong vendor and partner management expertise, with a track record of scaling external suppliers while maintaining quality, cost efficiency, and delivery SLAs
Operational and analytical excellence, with hands-on experience defining KPIs, building pipeline and capacity visibility, and driving continuous process improvement through data
Exceptional cross-functional leadership and communication skills, with the ability to influence Delivery, Engineering, Product, Supply, and GTM stakeholders at senior levels
Comfort operating in ambiguity and zero-to-one contexts, with the ability to move quickly, make high-quality decisions, and iterate toward scalable systems

Job Responsibility

Lead and scale the Data Operations function, building a high-performance team with clear career paths, accountability, and a strong culture of operational excellence
Design and operationalize end-to-end operating models for expert contributor , onboarding, performance management, and quality assurance
ensuring consistency, compliance, and scalability as the business grows
Establish SOPs, including pipeline health monitoring, project execution tracking, and KPI-driven reporting to enable predictable, on-time delivery
Own operational enablement and documentation, creating playbooks, and internal tooling that reduce execution friction and accelerate onboarding across delivery teams
Oversee planning and execution of complex data programs (labeling, annotation, curation), balancing cost, quality, and timelines across multiple customers and delivery motions
Partner cross-functionally with Delivery, Supply, Engineering, Product, and GTM leadership to align execution with commercial priorities and continuously improve the DaaS operating model at scale

Fulltime

Senior Human Data Operations Partner

As a Senior Human Data Operations Partner, you will play a pivotal role in ensur...

Location

Mexico , Mexico City

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

Experience in operations, ideally in marketplace or platform environments
Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced environment
Strong project management skills, with attention to detail and operational execution
Experience in implementing and optimising processes to improve efficiency and scalability
Proficiency in operational tools and systems such as Metabase, Zapier, Asana, and HubSpot
Exceptional communication and documentation skills, with a track record of stakeholder enablement
Confidence with data analysis and operational metrics to support decision-making and continuous improvement
Familiarity with human data operations, product or data operations, participant recruitment, or managing global crowdsourcing/gig-economy platforms
Experience supporting AI/ML lifecycle projects, such as data labelling, annotation, or domain-specific task curation
Understanding of Prolific’s platform and its role in delivering high-quality human data for AI research

Job Responsibility

Serve as a key resource for client-specific AI delivery teams, acting as the primary point of contact for participant-related operations
Support bespoke client projects by managing participant onboarding, verification, and activation processes to meet deliverables
Identify and address gaps in participant supply, ensuring alignment with AI task requirements and quality standards
Develop detailed project plans, workflows, and enablement materials to support efficient delivery
Maintain Prolific’s participant pools as high-quality, diverse, and optimised to meet customer demands
Implement and manage verification processes for domain experts and AI taskers, ensuring their skills and qualifications meet client-specific requirements
Continuously optimise participant onboarding and activation funnels to enhance retention and task performance
Monitor participant engagement and quality metrics, using insights to drive improvements
Contribute to upskilling programmes and certification processes for participants involved in complex AI tasks
Work closely with product, data, science, and customer success teams to align operational priorities with strategic objectives

What we offer

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research
Join us to enjoy a competitive salary, and our impactful, mission-driven culture

Senior Machine Learning Engineer, Data for Embodied AI

The goal of this role is to build, scale, and optimise next-generation world mod...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Experience in ML engineering, data engineering, or applied ML roles focused on large-scale data systems
Proven experience building and maintaining large-scale data pipelines for machine learning, including data ingestion, transformation, and validation
Strong Python fundamentals and experience with modern ML and data frameworks (e.g. PyTorch, Ray, Dask, Spark, or equivalent)
Solid understanding of multimodal data (video, lidar, sensor telemetry) and its challenges in large-scale training
Experience defining and tracking data quality metrics, conducting dataset analysis, and driving data-informed improvements in model performance
Demonstrated ability to work collaboratively with ML researchers, platform engineers, and product teams in a fast-paced, experimental environment
Strong problem-solving skills, a data-driven mindset, and the ability to translate research needs into reliable data solutions

Job Responsibility

Design and implement large-scale data acquisition, processing, and curation pipelines, owning the full lifecycle of high-quality datasets used to train advanced robotics and foundation models
Continuously improve dataset quality and utility through sophisticated data analysis, debugging, and experimentation
developing metrics, tests, and monitoring mechanisms that directly drive model performance improvements
Develop and scale multimodal data pipelines for ingestion, preprocessing, filtering, annotation, and storage across video, LiDAR, and telemetry modalities
Run systematic experiments on data ablations and composition to assess their impact on model training dynamics, generalisation, and downstream performance
Collaborate with ML researchers and platform engineers to ensure datasets are fit for purpose and efficiently integrated into large-scale training workflows
Build internal tools and workflows for dataset auditing, visualization, and versioning to streamline iteration and reproducibility
Advance best practices for data governance, reliability, and scalability across the data lifecycle
ensuring data safety, privacy, and long-term maintainability

Senior Machine Learning Engineer, Data for Embodied AI

The goal of this role is to build, scale, and optimise next-generation world mod...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Experience in ML engineering, data engineering, or applied ML roles focused on large-scale data systems
Proven experience building and maintaining large-scale data pipelines for machine learning, including data ingestion, transformation, and validation
Strong Python fundamentals and experience with modern ML and data frameworks (e.g. PyTorch, Ray, Dask, Spark, or equivalent)
Solid understanding of multimodal data (video, lidar, sensor telemetry) and its challenges in large-scale training
Experience defining and tracking data quality metrics, conducting dataset analysis, and driving data-informed improvements in model performance
Demonstrated ability to work collaboratively with ML researchers, platform engineers, and product teams in a fast-paced, experimental environment
Strong problem-solving skills, a data-driven mindset, and the ability to translate research needs into reliable data solutions

Job Responsibility

Design and implement large-scale data acquisition, processing, and curation pipelines, owning the full lifecycle of high-quality datasets used to train advanced robotics and foundation models
Continuously improve dataset quality and utility through sophisticated data analysis, debugging, and experimentation
developing metrics, tests, and monitoring mechanisms that directly drive model performance improvements
Develop and scale multimodal data pipelines for ingestion, preprocessing, filtering, annotation, and storage across video, LiDAR, and telemetry modalities
Run systematic experiments on data ablations and composition to assess their impact on model training dynamics, generalisation, and downstream performance
Collaborate with ML researchers and platform engineers to ensure datasets are fit for purpose and efficiently integrated into large-scale training workflows
Build internal tools and workflows for dataset auditing, visualization, and versioning to streamline iteration and reproducibility
Advance best practices for data governance, reliability, and scalability across the data lifecycle
ensuring data safety, privacy, and long-term maintainability

Data Curator and Annotator

ACI Infotech

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 14, 2025

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Category:IT - Software Development

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Job Description:

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Job Posted:December 14, 2025

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