Technical Staff provide critical multi-domain and new domain innovative research supporting the Laboratory’s national security mission. They prototype state-of-the-art technology solutions and engage across the program lifecycle, leading projects or major/multiple technical workstreams.
Lead projects, complex programs, major technical workstreams, multi-program initiatives, or technical portfolios involving multidisciplinary development, analysis, prototyping, integration, testing, evaluation, and technology transition.
Apply deep technical expertise and systems-level judgment to highly complex and ambiguous problems, evaluating alternatives, trade-offs, risks, stakeholder needs, and mission implications.
Translate broad or unclear objectives into actionable technical plans and influence program direction, architectures, systems, priorities, and roadmaps across teams, Groups, or mission areas.
Collaborate with multidisciplinary teams, sponsors, mission partners, and internal leaders to align priorities, resolve dependencies, and guide decisions and deliverables.
Assess and improve technical tools, processes, methods, documentation, execution practices, and organizational capability.
Requirements
Ph.D. in Applied Mathematics, Bioinformatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, Physics, Statistics, or a related scientific field
Master’s degree with 7+ years of directly related experience
Help REX trainers and reviewers apply client quality standards consistently across AI data campaigns by reviewing annotations, evaluating screener responses, and providing actionable feedback.
Locations (4)
Mountain View, California, United States
Paris, Île-de-France, France
Singapore, Singapore
Tokyo, Tokyo, Japan
Compensation
The base salary range for this position is 70k - 120k USD annually.
Responsibilities
Review samples of trainer submissions against campaign rubrics and approved examples and record issues
Leads the day-to-day annotation operation at Valeo Chennai, acting as the single point of contact, owning allocation, tracking, and reporting to drive throughput towards scaled objectives without loss of quality.
Responsibilities
Allocate and priorities daily work in line with Valeo's batches, by engineer capacity and scene type.
Track productivity, throughput and quality against agreed targets: scenes per engineer per day, accepted scenes per week, first-pass acceptance, rework rate and turnaround.
Act as first point of contact for Valeo's Project Manager and Annotation / Data Lead.
Publish the daily status and weekly performance report and maintain the productivity and quality dashboard.
Lead onboarding, training, calibration on gold scenes, guideline adherence and coaching of the team.
Collect photo and video data using hyperspectral cameras, prototype devices, and shipping iPhones to support color image quality initiatives. The role will support data collection, dataset curation, annotation, evaluation reporting, and color-focused image quality studies.
Compensation
$28.00 - $28.00/hr
Responsibilities
Collect photo and video data using hyperspectral cameras, prototype devices, and shipping iPhones
The role involves labeling conversational AI data (text and audio), interpreting detailed guidelines, identifying factual errors, and documenting labeling decisions while meeting quality expectations.
Responsibilities
Label conversational AI data, including text and audio
Interpret and consistently apply detailed guidelines, taxonomies, and decision rules
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