---
title: 'Senior Data Labeler at White Circle'
canonical: 'https://feeny.ai/job/senior-data-labeler-white-circle-paris-vtp78vea9yp4'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Data Labeler at White Circle

- **Company:** White Circle
- **Location:** Paris, France
- **Compensation:** $60k–$100k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/whitecircle/0bc04858-9c98-4948-a815-9ea3debce3c8

## Job description

## ABOUT US

White Circle https://whitecircle.ai/ is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

- We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over 100M+ API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven.

## IN THIS ROLE, YOU WILL

- Build from scratch and lead the Data Labeling team (hiring, coaching, and performance management)
- Define annotation guidelines, quality standards, and evaluation frameworks
- Develop quality assurance processes, calibration sessions, and auditing systems
- Partner with AI researchers and engineers to translate research objectives into labeling workflows
- Prioritise labeling projects based on business and research needs
- Monitor operational metrics including quality, consistency, throughput, and cost
- Improve annotation tooling, automation, and workflow efficiency
- Lead complex AI evaluation projects, including safety, preference ranking, RLHF, policy evaluation, and benchmark creation
- Analyse disagreement patterns and edge cases to improve guidelines and model performance
- Manage vendor relationships and ensure consistent quality across distributed teams
- Build reporting dashboards and communicate operational insights to leadership
- Foster a culture of continuous improvement, accountability, and operational excellence

## WE'RE LOOKING FOR SOMEONE WHO

- Has experience leading data annotation or AI evaluation teams
- Has strong operational and people management skills
- Understands AI model evaluation, LLM behavior, and modern annotation workflows
- Can design scalable processes without sacrificing quality
- Communicates clearly across technical and non-technical teams
- Thrives in fast-moving startup environments

YOU MIGHT BE A GREAT FIT IF YOU

- Have managed annotation programs for LLMs, generative AI, or machine learning
- Have experience with RLHF, preference data collection, safety evaluations, or benchmark creation
- Have worked in Trust & Safety, AI Safety, Content Moderation, or ML Ops
- Have managed distributed or global annotation teams
- Have experience with vendor management and outsourcing operations

## BONUS POINTS

- Familiarity with prompt engineering and AI safety policies
- SQL, Python, or data analysis experience
- Experience building internal annotation platforms or workflow automation
- Background in linguistics, cognitive science, machine learning, or data operations

Important note

This role involves overseeing projects that may include offensive, harmful, violent, sexual, or otherwise disturbing content. You'll be responsible for ensuring reviewers have the tools, guidance, and support necessary to perform this work safely and consistently.

## WHY WHITE CIRCLE

- Competitive salary + equity
- Work from Paris (hybrid) with a relocation package available, or work from London (note: we are currently unable to provide relocation support and medical insurance for London-based roles)
- Paid time off in line with your local regulations
- All the hardware, tools, and services you need
- Covered subscriptions for AI agents and IDEs
- Team off-sites twice a year: we’ve recently been to the Alps and Saint-Tropez

## HOW WE HIRE

1. Intro call with HR (30 min)
2. Take-home exercise
3. Final conversation with our CEO (45 min)

Please submit your application in English.

## About White Circle

## Company Overview
- **One-liner**: White Circle is a control layer for AI in production, providing safety, security, evals, and performance optimization through a unified API.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Dover, Delaware, United States (operational hub in Paris, France)
- **Founded**: 2025
- **Founders**: Denis Shilov (Founder & CEO)

## Core Business
- **Primary industry**: AI Governance, AI Security, AI Observability
- **Target customers**: B2B, Enterprise (companies deploying AI agents, chatbots, or LLM-powered applications)
- **Mission or purpose**: To give organisations visibility into how their AI behaves, help them respond when things go wrong, and provide a unified system for improving reliability, safety and compliance.

## Products & Services
- **White Circle Platform**: A single API that integrates three layers:
  - **Protect**: Custom low-latency guardrails for blocking unsafe inputs, preventing jailbreaks, detecting prompt injections, PII leakage, and sensitive data leaks.
  - **Observe**: Real-time analytics including topic classification, user behavior clustering, custom metrics, error rate analysis, sentiment analysis, and risk scoring.
  - **Improve**: Model routing, dynamic prompt engineering, context enrichment, and automated optimization based on labelled user feedback.
- **CircleGuardBench**: A proprietary benchmark for evaluating AI moderation models across harm detection, jailbreak resistance, false positives, and latency.
- **KillBench**: A benchmark of hidden LLM biases in critical decisions (life-and-death scenarios).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $11M raised in seed funding (announced May 2026)
- **Notable Investors/Partners**: Backed by prominent AI and technology leaders including Romain Huet (ex-Head of Product @DeepMind), Dirk Kingma (Anthropic), Guillaume Lample (Mistral), Thomas Wolf (Hugging Face), Olivier Pomel (Datadog), François Chollet (Keras), Mehdi Ghissassi (ex-DeepMind), Paige Bailey (DeepMind), and David Cramer (Sentry).
- **Growth Signals**:
  - 21 employees (+283.3% YoY, +9.5% monthly growth)
  - Monthly website traffic: 32,090 visits (+682.7% yearly)
  - Active job postings: 6 (monthly job posting growth +20%)
  - SOC 2 Type II and HIPAA compliant
  - Operates in 7 countries (France, Russia, Netherlands, Serbia, Switzerland, Georgia, Spain)

## Competitive Advantages
- **Proprietary self-adjusting models** optimized for low-latency and high performance
- **Unified platform** that combines safety, security, evaluation, and performance optimization – no need for multiple point solutions
- **Enterprise-grade compliance** (SOC 2 Type II & HIPAA)
- **Strong network effects** from backing by leaders at OpenAI, Anthropic, DeepMind, Hugging Face, and Datadog
- **Automated red-teaming** and continuous improvement through user feedback

## Strategic Focus
- Accelerate product development and expand the team across the US, UK, and Europe
- Grow global customer base across healthcare, finance, hiring, and security verticals
- Continue building benchmarks (CircleGuardBench, KillBench) to shape AI safety standards
- Maintain deep integration with the AI open-source ecosystem

## Why Work Here
- **Culture**: “Smart, friendly, and fun” team with a strong engineering and research focus (43% technical staff)
- **Location**: Based in Paris, France with a hybrid work model (office + remote)
- **Benefits**:
  - Strong salary
  - 20 paid days off (plus ability to take more for recovery)
  - Free education (company covers learning costs)
  - Team offsites several times a year
- **Open roles** (June 2026): QA Engineer, Product Engineer (Backend), DevOps Engineer, Product Designer, AI Engineer (Audio), Data Engineer
- **Impact**: Build the future of AI safety at a well-funded, high-growth startup with world-class investors

## Sources
1. [whitecircle.ai](https://whitecircle.ai)
2. [whitecircle.ai/careers](https://whitecircle.ai/careers)
3. [LinkedIn – White Circle](https://www.linkedin.com/company/whitecircle)
4. [Tech.eu – White Circle lands $11M](https://tech.eu/2026/05/12/white-circle-lands-11m-to-help-companies-secure-ai-systems/)

## Other roles at White Circle

- [Finance Lead](https://feeny.ai/job/finance-lead-white-circle-us-san-francisco-or-s3jtsbzkwt7f) — US San Francisco OR, NY
- [Product Brand Designer](https://feeny.ai/job/product-brand-designer-white-circle-us-san-francisco-or-3v7jkx8gskhf) — US San Francisco OR, NY
- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-white-circle-us-san-francisco-or-rns9xb4d5gj6) — US San Francisco OR, NY
- [Recruiter (Research)](https://feeny.ai/job/recruiter-research-white-circle-remote-1vekq2rdfrvz)
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-white-circle-paris-y84p4fve5nn1) — Paris, France
- [Founding Events Lead](https://feeny.ai/job/founding-events-lead-white-circle-new-york-wczngn43ffxc) — New York, NY
- [Partnerships Manager](https://feeny.ai/job/partnerships-manager-white-circle-london-c3ep31m67xse) — • London, United Kingdom
- [AI Red Team Engineer](https://feeny.ai/job/ai-red-team-engineer-white-circle-j1xbb74qxv2e) — •, United States
- [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-white-circle-paris-cjvfwvec3k00) — Paris, France
- [Multimodal ML Engineer](https://feeny.ai/job/multimodal-ml-engineer-white-circle-paris-kd1xveq65a91) — Paris, France