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Scale Ai Data Labeling Jobs (Flexible Options) Near Me

Welo Data

Data Labeling Associate

Seattle, WA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Boston, MA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Burlingame, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Pareto AI

Applied AI Engineer

$225K - $275K/yr

This RL environment and human-data infrastructure is already in production. Our job now is to scale ... Experience building human data labeling interfaces, annotation workflows, or data collection ...

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$10/hr

We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently. * Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and ...

Scale AI, Inc.

Software Engineer, Gen AI

Manhattan, NY · On-site

For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent ...

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Technical Lead Manager, Physical AI

Scale AI

San Francisco, CA • On-site

Full-time

Re-posted 5 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 243 rated software companies

Job description

Job Summary:
Scale AI is the data engine for the entire AI industry, focused on building general AI that can reason and act in the physical world. The Technical Lead Manager will lead a team of Research Engineers to develop and evaluate Large-Scale Foundation Models for Physical AI, bridging the gap between machine learning research and physical robot deployment.
Responsibilities:
• Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies.
• Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks
• Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning.
• Collaborate with internal labeling teams to design "robotic-native" data pipelines, including the use of VLMs for automated trajectory annotation and data synthesis.
• Collaborate closely with customers to drive the industry forward in using Scale data
• Lead and grow a team of 4-6 elite Physical AI researchers, fostering a culture of high-velocity experimentation and rigorous evaluation.
• Translate the latest research from NeurIPS, ICRA, and CVPR into production-ready features for Scale’s Physical AI partners.
• Work with cross-functional teams (e.g Product and Operations) to bring our research breakthroughs into production.
Qualifications:
Required:
• Expert-level proficiency in PyTorch, with deep knowledge of Transformer architectures, Attention mechanisms, and Self-Supervised Learning.
• Proven track record of working with Vision-Language Models (e.g., CLIP, PaLM-E) and adapting them for spatial reasoning or embodied tasks.
• Experience with Diffusion Models for sequence generation or Generative World Models for predictive modeling.
• Strong understanding of Physical AI stack, including imitation learning, reinforcement learning (RL), and multi-modal sensor fusion.
• Experience with large-scale distributed training across GPU clusters and high-performance data loading.
• 1+ years of experience leading technical teams or projects in a research-intensive environment.
Preferred:
• First-author publications at top-tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL).
• Experience building models that work across different robot types (arms, mobile bases, humanoids).
• Experience with high-fidelity simulators (e.g., Isaac Gym, MuJoCo) and the nuances of physical domain adaptation.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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