Data Labeling Lead Job at Reducto

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

Machine Learning Lead

Instawork is on a mission to create meaningful economic opportunities for skille...

Location

United States , San Francisco

Salary:

240000.00 - 260000.00 USD / Year

Instawork

Expiration Date

Until further notice

Requirements

Mid-career developer with at least 8 years of programming and/or engineering leadership experience, excluding internships
Machine learning expert with a Master’s or PhD in an AI or ML-related field and at least 2 years of professional experience building ML or CV models for robotics or autonomous vehicle applications
Experienced with data pipelines, with expertise in distributed systems, cloud computing on AWS infrastructure, and scalable data processing for large-scale datasets
Innovator with a background in identifying and translating techniques from academic research and frontier labs into production systems
Problem-solver who enjoys building new-to-world systems, sharing technical expertise, and applying creativity and grit

Job Responsibility

Model Development - plan, architect, and build the data labeling and enrichment pipeline at the foundation of Instawork Robotics’ data offering
Pipeline Optimization - identify and implement continuous improvements to our data pipeline to improve efficiency, scalability, and quality
Dataset Quality - develop methodologies and analytics to measure the quality and performance of our dataset and ML models
Research Reviews - stay on top of academic research and industry best practices related to robotics learning and training
Cross-Functional Collaboration - Work closely with robotics leadership, data ops, QA, and other engineering teams to ensure alignment from concept to deployment
Mentorship & Influence - Guide mid and senior-level engineers through code reviews, pair programming, and architectural discussions, raising the technical bar across the organization

What we offer

Equity in the form of stock options
Variety of medical, dental, and vision plans with coverage beginning on the date of hire
Flexible paid time off
At least 8 paid company holidays annually
Home office stipend
Phone stipend
Commuter stipend
Supplemental pay on qualified leaves
Employee health savings accounts (HSA) contribution
Flexible spending plans

Fulltime

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

Lead Data Security Engineer

Our client is seeking a Lead Data Security Engineer to drive enterprise-wide dat...

Location

United States , Johns Creek

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5-6+ years of experience in data security or information security roles
Strong hands-on experience with Microsoft Purview, including DLP, data labeling, and eDiscovery
Deep experience with CASB solutions (Zscaler preferred)
Strong understanding of the data governance lifecycle
Experience with DLP platforms, data classification tools, and threat hunting tools
Knowledge of encryption and key management practices
Experience securing cloud platforms and hybrid environments
Proven ability to lead enterprise security initiatives and investigations

Job Responsibility

Lead enterprise data protection initiatives, including DLP and CASB strategy design and implementation
Architect data discovery, classification, labeling, and protection programs across cloud and on-prem environments
Lead DLP investigations and remediation efforts related to data loss and exfiltration risks
Support compliance initiatives and regulatory requirements
Integrate data protection telemetry into detection and monitoring platforms
Drive threat hunting efforts focused on data exfiltration and misuse
Evaluate and recommend security tools and vendors
Provide technical leadership and mentorship to security team members
Partner with cross-functional teams and executive stakeholders

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Software Manager

Coherent Technical Services, Inc is seeking an experienced Software Manager to g...

Location

United States , Hollywood

Salary:

Not provided

Coherent Technical Services

Expiration Date

Until further notice

Requirements

BS or MS in Computer Science, Computer Engineering, or related field
7–10 years of embedded software development experience
3–5 years managing or leading a software development team
Proven ability to motivate teams, communicate effectively with stakeholders, and manage expectations
Strong understanding of embedded systems, real-time constraints, and hardware/software integration
Experience with process improvement and implementing engineering best practices
Experience managing software projects in classified or restricted environments (e.g., DoD, IC, or defense contractor programs)
Strong understanding of secure software development practices, including handling of classified data and systems
Working knowledge of DoD software assurance, RMF, STIG compliance, and data labeling requirements
Prior experience leading teams within SCIF or SAPF facilities

Job Responsibility

Lead and manage a team of embedded software engineers, fostering a culture of collaboration, accountability, and continuous improvement
Oversee the planning, execution, and delivery of complex embedded software projects — ensuring alignment with product, design, and engineering teams
Provide technical guidance on architecture, design, and implementation for embedded systems
Mentor and coach team members, supporting career growth and skill development
Drive process improvements and implement best practices across the software discipline
Manage resource planning, project scheduling, and stakeholder communication to ensure on-time, high-quality delivery

What we offer

Qualified applicants will receive consideration for employment without regard to and will not be discriminated against based on, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status

Director, Data Licensing Partnerships

Meta is seeking a hands-on leader to build and scale the Data Licensing Partners...

Location

United States , Menlo Park

Salary:

296000.00 - 356000.00 USD / Year

New

Senior Data Engineer

If you love the pursuit of excellence and are inspired by the challenges that co...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
4+ years of hands-on software development experience in one or more general purpose programming languages (e.g., C#, Java, C++, Python, JavaScript/TypeScript)
Hands-on experience designing and operating production data pipelines and platforms at scale
Working understanding of how GenAI systems consume data — training datasets, features and labels, embeddings, retrieval and grounding data, evaluation harnesses, and the data-side failure modes that drive model and agent regressions
Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way
Experience integrating AI capabilities (LLMs, agents, model-backed features) into production systems, including familiarity with Responsible AI principles and applying AI safety controls in production
Experience owning a feature area end-to-end, from design through deployment, monitoring, and on-call ownership
Experience designing and operating large-scale distributed data systems in a cloud environment (e.g., Azure), including data model and pipeline design, performance tuning, and cost optimization

Job Responsibility

Own the end-to-end engineering lifecycle for key components and services—designing, coding, testing, deploying, and operating solutions that are secure, reliable, and maintainable
Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated requirements, designs, and code — yours and your teammates' — and apply Responsible AI practices
Build the training, feature, retrieval, grounding, and evaluation datasets that LLMs, and agents depend on. Partner with PM and engineering to make data contracts, freshness, drift signals, and offline/online consistency first-class concerns
Lead design discussions for your project area, evaluate tradeoffs across batch vs. streaming, warehouse vs. lakehouse, ELT vs. ETL, and storage choices for analytical, feature, and vector workloads. Own architectural decisions with minimal oversight
Partner with PM and engineering to define data requirements
ensure feedback loops on data quality, usage, model performance, and downstream product impact are in place
Write extensible, secure, performant code for pipelines, transformations, and supporting services. Apply modern patterns including GenAI-assisted development. Drive code reviews and best practices at the product level
Own the test strategy for your area, including data contract tests, schema validation, freshness checks, distribution and drift monitoring, and offline/online parity. Improve the test suite and use AI tools for test automation
Identify cross-team data dependencies, manage upstream producer and downstream consumer impact, and resolve conflicts when semantics or schemas change in ways that affect models or downstream products
Drive your workgroup's project and release plans. Break work into a roadmap including backfills, migrations, and model-impacting changes, and coach others on estimation

Fulltime

AI Data Operations Lead

Cinder is hiring a AI Data Operations Lead to own the health, quality, and evolu...

Location

United States , New York

Salary:

140000.00 - 180000.00 USD / Year

Cinder

Expiration Date

Until further notice

Requirements

At least 4+ years of experience in operations roles within Trust & Safety, AI safety, content moderation, or data labeling
Directly managed BPO or vendor-based review/labeling teams at scale
Highly organized and comfortable owning complex, multi-threaded operational work
Experience performing root cause analysis on operational or quality issues
Comfortable getting into the weeds — tooling, data, training docs, edge cases — to understand what’s actually happening
Can operate independently and take initiative in ambiguous environments
Comfortable using data (basic data science, metrics, dashboards) to monitor performance and partner with QA or customer teams
Excited about AI-augmented operations and believe human judgment + AI systems outperform purely manual approaches

Job Responsibility

Own the operational health, delivery, and outcomes for all Managed Services customers
Lead quality programs across customers, including QA design, precision/recall analysis, accuracy tracking, and continuous improvement
Identify root causes of quality regressions, missed SLAs, or labeling confusion — and drive fixes across tooling, training, or process
Own escalation and risk tradeoffs when quality, safety, or customer timelines are at risk, exercising sound judgment in high-pressure situations
Manage day-to-day relationships with BPO and data labeling partners
Partner with vendors on staffing models, headcount planning, efficiency improvements, and performance management across time zones
Review training materials, calibration processes, and reviewer feedback loops to ensure consistent, high-quality output at scale
Write, test, and iterate labeling and review instructions in partnership with Product and customers
Lead calibration processes with BPO partners to ensure consistent interpretation of guidelines and edge cases
Work closely with Product and Engineering on AI deployments that support Managed Services customers

What we offer

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Data Labeling Lead

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