Data Specialist Contractor, Dexterity

Robotics & AI

Salary not provided

$65 - $100 an hour

Python

San Francisco Bay Area

Office located in Redwood City, CA

Physical AI-powered industrial superhumanoids for large enterprises

Job no longer available

Physical AI-powered industrial superhumanoids for large enterprises

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Job no longer available

Salary not provided

$65 - $100 an hour

Python

San Francisco Bay Area

Office located in Redwood City, CA

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Company mission

To help people thrive and grow by freeing them to do work that humans do best, by transforming the world to make work more purposeful.

Job

Company

Role

Who you are

A self-driven and self-sufficient individual who thrives in a fast-paced, innovative environment
A PhD candidate (or holder) in Statistics, Applied Mathematics, or a related field
A passion for robotics, AI, and solving complex operational challenges
Availability to start as soon as possible and commit to at least 4 months

Desirable

Strong foundation in core statistical analysis methods (e.g., regression, probability, hypothesis testing)
Proficiency in data cleaning, preparation, and visualization
Experience with Python, machine learning, and spreadsheets for data manipulation and modeling
Familiarity with simulation tools for building operational models
Ability to think critically, challenge assumptions, and develop creative, practical solutions

What the job involves

This role will play a pivotal part in analyzing baggage and operational statistics, helping define performance requirements and key performance indicators (KPIs) for our robotic system. If you are passionate about data-driven problem-solving and excited by the challenge of creating transformative AI solutions, we’d love to hear from you
Develop methodologies to classify different types of baggage for robotic handling systems
Design strategies to analyze manual operation activities and conduct time-in-motion studies using on-site video footage
Statistically analyze and develop operational models for a variety of scenarios
Utilize third-party simulation software to design, test, and optimize concepts for robotic systems
Define and justify the specific types and volumes of data required for effective implementation
Present data and analytical findings in clear, user-friendly formats to facilitate understanding across cross-functional teams
Partner with engineering and robotics teams to align operational models with system capabilities
Provide actionable insights that directly impact system design and enhance performance metrics

Our take

Dexterity emerged from stealth at an opportune, albeit tough, time in 2020, just as an accelerating labour crunch drove major demand for automated solutions in factories and warehouses. The company managed a major fundraise and immediately moved on to bigger and better things: expanding into the Japanese market, partnering with supply chain automation leader Dematic and achieving unicorn status with a greater than $1 billion valuation.

Unlike other companies which are fixated on developing increasingly sophisticated, more human-like robots, Dexterity takes a comparatively simple hardware approach. Its machines take care of highly repetitive tasks, while its SaaS platform shares everything it learns with each robot, amplifying intelligence across the fleet. Rather than seeking to replace human workforces it aims to augment them, freeing skilled workers for more complex tasks.

Considering that the worldwide labour shortage is heavily impacting the industrial sector, Dexterity is in a promising position to continue its upward trajectory over the next few years. Indeed, its recent partnerships with Sumitomo to supply 1,500 Dexterity robots in their warehouses and with FedEx for autonomous trailer loading are encouraging signs of things to come for the company.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

1% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (last 2 of 3 rounds)

Mar 2025

$95m

LATE VC

Oct 2021

$140m

SERIES B

Total funding: $291.2m

Company HQ

Redwood City, CA

Leadership

Samir Menon

(Founder & CEO)

Samir holds a Ph.D in Computer Science from Stanford University. He was previously a Software Design Engineer at Microsoft India R&D before Founding Dexterity in 2017.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 14 more jobs at Dexterity