Project Lead, AI Model Training

🕒 Agosto 27

🌐 Estados Unidos, Canadá – Remoto

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🗽 New York – Remoto

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💵 $150.000 - $240.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 1%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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NewtonX

51 - 200 funcionários

Fundada em 2017

💼 Consultoria

📣 Marketing

☁️ SaaS

💰 $32.000.000 Series B - NewtonX em 2021-12

Consulting • Marketing • SaaS

A NewtonX é uma empresa de pesquisa de mercado B2B que combina coleta de dados habilitada por inteligência artificial, recrutamento de respondentes especialistas verificados e aumento de dados sintéticos para fornecer inteligência de mercado e análises rápidas e de alta qualidade. A empresa oferece serviços nas áreas de marca e comunicações, pesquisa de clientes, oportunidades de mercado e pesquisa de produto, e oferece uma plataforma SaaS (NewtonX Hub e NewtonX Prime) que inclui entrevistas moderadas por IA e um analista de pesquisa sempre disponível (Hub Researcher) para ajudar empresas e agências a transformarem perguntas complexas em estratégias acionáveis.

Descrição

• Own client engagements end to end, from scoping through delivery, on NewtonX’s data operations platform • Translate client training or evaluation needs into statements of work, task designs, quality targets, annotator profiles, and agentic-project environment/tool strategies • Configure multi-layer quality pipelines, task forms, grading rubrics, annotator enablement, and routing • Author first-draft guidelines and gold sets with the ML Lead and pressure-test them before production • Track project quality, throughput, and cost against targets; diagnose drift and intervene before client impact • Manage annotator assignments, layer access, qualification, and performance with the annotator delivery team • Run project channels and calibration sessions, handle exceptions and escalations, and adjust configurations • Serve as the client point of contact for scoping calls, updates, quality escalations, and delivery • Manage expectations against scope and diagnose acceptance issues • Surface account expansion opportunities and new use cases to the commercial team • Assemble and deliver batches on schedule and own client handoff • Run client acceptance testing, capture sign-off, and trigger commercial milestones • Run post-mortems and feed learnings into guidelines, tooling, and future scopes • Build repeatable delivery playbooks, templates, and quality standards • Communicate delivery needs and platform feedback to product and engineering

🎯 Requisitos

• 3+ years of experience in data labeling, RLHF/SFT, or AI evaluation delivery • Shipped real annotation or evaluation projects at a data labeling company or inside an AI lab • Comfortable owning quality metrics, debugging stalled queues, and rewriting production rubrics • Able to run scoping calls with technical buyers and translate operational mechanics into client-relevant terms • Data analysis skills using SQL or Python are a strong plus • Experience building processes, playbooks, templates, and quality standards • Ability to manage several concurrent projects with different clients, quality bars, and annotator pools • Adaptable and resilient in changing project environments • Discreet handling of annotator personal data and client-confidential information under strict data-security and confidentiality standards • Valid US or Canadian work authorization required • Visa sponsorship is not available for this role

🏖️ Benefícios

• participation in our company stock buying program • Excellent medical, dental, and vision insurance • 401k match with immediate vesting • Health savings/flexible savings account • pre-tax commuter benefits • Paid time off: vacation, holidays, sick, and parental leave • Fast-track career growth toward operational and commercial leadership • A diverse, collaborative, and positive culture • happy hours, team projects, and retreats

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