As the global leader in AI-powered recruitment marketing and candidate engagement, we are transforming talent attraction and recruitment media buying for the world’s largest and smartest employers, staffing businesses, RPOs, and recruitment advertising agencies.

The Joveo platform enables businesses to attract, source, engage, and hire the most relevant candidates on time, within their budget. Powering millions of jobs every day, our data-driven recruitment marketing platform uses advanced data science and machine learning to dynamically manage and optimise talent sourcing and applications across all online channels while providing real-time insights at every step of the job seeker journey, from click to hire.

For more information, visit www.joveo.com.

Industry: Software Development
Company Size: 51-200 employees

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Savvy Admin PROD

- **Role **: Quantitative Analyst (Remote)

- **Locations **: Remote (United States, Canada, Puerto Rico, United Kingdom, New Zealand, Australia, Mexico, or Argentina)

**Role Overview: **

One of our client is hiring Statistics Experts to teach AI how to interpret and solve complex quantitative problems. As a domain expert, you will create rigorous analytical prompts, evaluate model responses for statistical accuracy, and ensure frontier AI adheres to the highest standards of quantitative reasoning — all on a fully remote, flexible schedule.

**Key Responsibilities: **

- Assess the factuality and relevance of domain-specific text produced by AI models

- Craft challenging analytical prompts and write expert-level answers in Statistics

- Evaluate and rank domain-specific responses generated by AI models for accuracy

- Review and correct AI-generated chains of thought for statistical correctness

- Provide clear, precise written feedback on quantitative reasoning and methodology

- Collaborate with the Outlier expert community to maintain quality standards

**Required Skills: **

- Ability to write clearly and precisely about Statistics concepts in fluent English

- Strong analytical reasoning and rigorous attention to quantitative detail

- Comfortable working independently in a fully remote, asynchronous environment

**Required Qualifications: **

- Education in Statistics, Biostatistics, Mathematical Statistics, Applied Mathematics, Econometrics, Data Science, Operations Research, Machine Learning with a statistical focus, or Quantitative Psychology

- Experience working as a statistician, biostatistician, data scientist, quantitative researcher, or in a comparable highly technical/analytical role

**Compensation **

- Earn up to **$150 USD/hr **

- Payments issued weekly via supported payout platforms (e.g., PayPal or AirTM)

**Equal Opportunity Employer: **

We're an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.

**If your expertise can teach AI how to reason — apply now! **

Quantitative Analyst (Remote)

- **Role **: Senior Quantitative Analyst (Remote)

- **Locations **: Remote (United States, Canada, Puerto Rico, United Kingdom, New Zealand, Australia, Mexico, or Argentina)

**Role Overview: **

One of our client is hiring Statistics Experts to teach AI how to interpret and solve complex quantitative problems. As a domain expert, you will create rigorous analytical prompts, evaluate model responses for statistical accuracy, and ensure frontier AI adheres to the highest standards of quantitative reasoning — all on a fully remote, flexible schedule.

**Key Responsibilities: **

- Assess the factuality and relevance of domain-specific text produced by AI models

- Craft challenging analytical prompts and write expert-level answers in Statistics

- Evaluate and rank domain-specific responses generated by AI models for accuracy

- Review and correct AI-generated chains of thought for statistical correctness

- Provide clear, precise written feedback on quantitative reasoning and methodology

- Collaborate with the Outlier expert community to maintain quality standards

**Required Skills: **

- Ability to write clearly and precisely about Statistics concepts in fluent English

- Strong analytical reasoning and rigorous attention to quantitative detail

- Comfortable working independently in a fully remote, asynchronous environment

**Required Qualifications: **

- Education in Statistics, Biostatistics, Mathematical Statistics, Applied Mathematics, Econometrics, Data Science, Operations Research, Machine Learning with a statistical focus, or Quantitative Psychology

- Experience working as a statistician, biostatistician, data scientist, quantitative researcher, or in a comparable highly technical/analytical role

**Compensation **

- Earn up to **$150 USD/hr **

- Payments issued weekly via supported payout platforms (e.g., PayPal or AirTM)

**Equal Opportunity Employer: **

We're an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.

**If your expertise can teach AI how to reason — apply now! **

Senior Quantitative Analyst (Remote)

TalentReviewAI is an AI-powered recruitment platform designed to streamline the hiring process for organisations. It helps talent acquisition teams build and manage talent pools efficiently by leveraging AI-driven insights and Voice AI to screen and match candidates’ profiles. With its intuitive website and suite of powerful tools, TalentReviewAI enables companies to optimize recruitment, reduce time-to-hire, and improve talent fit across roles, making it a budget-friendly solution for organizations looking to enhance their hiring strategies.

Industry: التكنولوجيا والمعلومات والإنترنت
Company Size: ‏٢ - ١٠ موظفين

TalentReviewAI | Hiring Platform

About This Role

**About Auriko **

Auriko is building the market infrastructure for AI inference.

Our current product is an inference platform built with quantitative trading rigour. It enables AI teams to switch models across inference providers and optimise inference cost quickly.

Our team comes from quantitative trading and high-frequency derivatives backgrounds, with experience building, trading, and risk-managing complex systems at scale.

**Role **

You will work with the quantitative researchers and own the production systems that serve the platform’s routing, pricing, and risk models.

**You would be responsible for: **

Routing and optimisation engine: productionize constrained optimisation models that filter, score, and select providers across requests, subject to user constraints such as latency, cost, and uptime, as well as platform constraints such as capacity and rate limits

Predictive signal infrastructure: build the serving layer for quantitative performance and risk signals, including latency distributions, provider health forecasts, and pricing changes, that feed real-time routing decisions at the edge

Data pipeline: build and maintain quant-grade data collection, transformation, and serving infrastructure for platform measurements, including token usage, realised costs, TTFT, success and failure rates, and provider health signals, to specifications defined by the research team

Backtesting and simulation: build frameworks to evaluate routing strategies under stress scenarios, including provider degradation, price changes, capacity shocks, and partial outages

Metrics and validation: build aggregation logic for operational metrics such as P50/P95 latency, uptime, and error rates, data integrity validation, and holdout testing to confirm model improvements against defined targets

Provider integrations: build and maintain adapters across a growing set of LLM providers, each with its own API shape, streaming behaviour, and failure modes

Billing and metering: build accurate usage tracking across providers with fundamentally different pricing models

SDKs: build Python and TypeScript clients that serve as drop-in replacements for existing provider SDKs

**Requirements **

Production backend systems experience in Python and TypeScript

Experience productionizing quantitative, optimisation, or ML models into low-latency serving systems

Comfort with numerical computing: you can read an optimisation spec, implement it, debug it, and reason about edge cases

Distributed systems experience: multi-region services, consistency tradeoffs, and debugging under real load

**Strong Pluses **

Background in quant finance, trading systems, or fintech infrastructure

Edge compute, including CDN-layer request handling and globally distributed systems

Billing or metering systems where precision is a hard requirement

SDK design and API ergonomics

Familiarity with LLM provider APIs such as OpenAI, Anthropic, Google, Mistral, etc.

We are building a small, high-agency team. We value ownership, intellectual honesty, independent thinking, and fast execution. We care about substance over appearance.

We believe in identifying high-agency, driven talent and incentivising them to do exceptional work. **Our compensation package is market-leading, with meaningful equity upside. **

**Auriko sponsors a work visa. **

Learn more

Contact: join@auriko.ai

Chief Technology Officer

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