ML Lead, AI Data Labeling

🕒 May 18

🇺🇸 United States – Remote

💵 $180k - $260k / year

⏰ Full Time

🟠 Senior

⬇️ Data Entry

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NewtonX

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $32M Series B - NewtonX on 2021-12

Consulting • Marketing • SaaS

NewtonX is a B2B market research and insights company that combines AI-enabled data collection, recruitment of verified expert respondents, and synthetic data augmentation to deliver fast, high-quality market intelligence and analysis. The company provides services across brand & communications, customer research, market opportunity, and product research, and offers a SaaS platform (NewtonX Hub and NewtonX Prime) including AI-moderated interviews and an always-on research analyst (Hub Researcher) to help enterprises and agencies turn complex questions into actionable strategy.

📋 Description

• Serve as the primary technical point of contact for ML, applied science, and product teams at AI-focused clients. • Hold your own in technical conversations. • Translate ambiguous technical requirements into concrete operational specs. • Design and build domain benchmarks for NewtonX-owned domains in high-value verticals. • Work directly with recruiting and operations lead to convert client and benchmark requirements into operational specs. • Sit in client calls alongside Commercial leads.

🎯 Requirements

• 5 to 8 years of applied ML experience with substantive evaluation, benchmark, or human data work. • Working fluency with modern LLM evaluation: benchmark design, contamination handling, statistical significance, eval harness construction, agentic and tool-use evaluation, RLHF and preference data quality, red-team probe design. • Strong programming foundation. You can read and reason about an eval harness, write Python comfortably, work with model APIs, and prototype scoring pipelines. • Statistical fluency. You know when an effect is real and when it is noise. • Demonstrated client-facing presence. • Light commercial instinct. • Strong written communication.

🏖️ Benefits

• Excellent medical, dental, and vision insurance. • 401k match with immediate vesting. • Health savings/flexible savings account, and pre-tax commuter benefits. • Paid time off: vacation, holidays, sick, and parental leave. • A diverse, collaborative, and positive culture where we invest in and celebrate each other's success (happy hours, team projects, and retreats).