Staff Scientist - Video Data Curation & Evaluation

Roboticsconnected; Mountain View (WY); On-site; USD 180,000 - 260,000; Full time

Job summary

Rhoda AI is seeking researchers to build the data and evaluation foundations for its video action model. You will design scalable data pipelines, annotate data, and develop evaluation methodologies to measure model progress and downstream robot task performance.

The role spans from data curation to benchmarking, with opportunities to influence data quality, model selection, and research strategy across teams.

Qualifications

• Strong understanding of data-centric ML and how web video data quality affects large generative model performance.
• Experience building large-scale video data pipelines: ingestion, filtering, deduplication, and quality scoring.
• Familiarity with video-specific data characteristics: temporal structure, motion quality, scene diversity, and action content.
• Solid ML fundamentals with hands-on experience training or evaluating large generative models.

Responsibilities

• Design and implement scalable curation pipelines for web-scale video pretraining data: ingestion, deduplication, quality filtering, and content classification across internet-scale video corpora
• Develop video-specific annotation frameworks and quality filters — motion quality, scene diversity, action content, temporal coherence — to improve pretraining signal
• Build evaluation frameworks and benchmarks to measure causal video model capabilities: prediction quality, temporal coherence, long-horizon rollout fidelity, and downstream robot task performance
• Research and implement data selection, mixing, and weighting strategies that improve video generation quality and transfer to robotic control
• Deploy and scale vision-language models (VLMs) and video understanding models for automated annotation, filtering, and content scoring at web scale
• Collaborate closely with pre-training and post-training teams to ensure data quality and evaluation methodology drive research decisions
• Track model capability trends across training runs, catching regressions and surfacing improvements early

Skills

Data-centric ML

Video pipelines

Video generation models

Evaluation frameworks

Collaboration

Tools

VLMs

CLIP-style inference

Job description

Rhoda AI is seeking researchers to build the data and evaluation foundations for its video action model. You will design scalable data pipelines, annotate data, and develop evaluation methodologies to measure model progress and downstream robot task performance.

The role spans from data curation to benchmarking, with opportunities to influence data quality, model selection, and research strategy across teams.