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Hourly Remote Robotics Engineer Jobs in Detroit, MI

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master's Degree in a related ...

EMAG LLC

Technical Sales Engineer

Farmington, MI · Remote

... remote meetings. * Communicate effectively with Sales, Engineering, and Operations to clarify ... PECM, laser processing, robotics, and automation. * Interpret engineering drawings and ...

Cavnue

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

This is a fully remote, hands-on individual contributor role with meaningful ownership across core ... Domain experience in transportation, robotics, autonomous vehicles, or sensor-heavy systems.

New

FANUC America

District Account Manager

Rochester Hills, MI · Remote

$107K - $180K/yr

This is a fully remote position, ideally based in the Philadelphia area, with responsibility for ... The ideal candidate is a dynamic go-getter who has a background in robots and robotic applications ...

Torc Robotics

Senior SOTIF Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

We are seeking a Senior SOTIF Engineer with a strong knowledge of Functional Safety (ISO 26262), SOTIF (ISO 21448), AI Safety (ISO-PAS 8800), AV Safety Case (UL 4600). etc., and passionate about ...

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of ...

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All JobsHourly Robotics Engineer JobsHourly Remote Robotics Engineer JobsHourly Remote Robotics Engineer Jobs in Detroit, MI

Hourly Remote Robotics Engineer information

See Detroit, MI salary details

$28.7K

$104.5K

$167.3K

How much do hourly remote robotics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for hourly remote robotics engineer in Detroit, MI is $104,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $125,700.00 per year, depending on experience, location, and employer.

What is the difference between Hourly Remote Robotics Engineer vs Hourly Remote Mechanical Engineer?

AspectHourly Remote Robotics EngineerHourly Remote Mechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's in Mechanical Engineering; certifications in CAD, design, or manufacturing
Work EnvironmentRemote, project-based, collaborative with software and hardware teamsRemote or on-site, focused on design, analysis, and testing of mechanical systems
Industry UsageRobotics companies, automation firms, research labsManufacturing, product design, engineering consulting

Hourly Remote Robotics Engineers focus on designing and developing robotic systems, often combining hardware and software skills. Mechanical Engineers work on mechanical design, analysis, and testing, primarily in manufacturing or product development. Both roles may work remotely and require engineering credentials, but their core responsibilities and industry applications differ.

What are the most commonly searched types of Remote Robotics Engineer jobs in Detroit, MI? The most popular types of Remote Robotics Engineer jobs in Detroit, MI are:
Hourly Remote Robotics Engineer jobs near you

Senior, ML Engineer - VLM

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team
Torc is marching toward its AV 3.0 strategy, where end-to-end Vision-Language-Action (VLA) models perceive, reason, and act directly from sensor data. High-quality, semantically rich training data is the single biggest lever for that strategy, and this team owns it.
Sitting within Offline Perception, this team turns petabytes of logged multi-modal fleet data (images, kinematics) into VLM/VLA-ready datasets: geometric annotations, scenario-level semantic descriptions, action- and trajectory-grounded labels, and reasoning traces that explain why a maneuver was taken. We run a continuous data flywheel - mine long-tail and failure cases, auto-label at scale, validate quality, and feed curated datasets directly into Torc's end-to-end VLM/VLA model development. You will own the dataset layer that those models learn from.
What You'll Do
  • Own the offline dataset pipeline - design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations.
  • Build VLM-assisted auto-labeling - develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost.
  • Generate reasoning-grounded labels - produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior.
  • Mine and curate the long tail - surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume.
  • Close the data flywheel - define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops.
  • Partner with the end-to-end model team - co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines.
  • Scale on cloud infrastructure - build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation.
  • Lead and mentor - serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization.
  • Stay current - track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.

What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master's Degree in a related technical field plus competences typically acquired through 3+ years of experience.

Required Qualifications (some combination of the following skills):
  • Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation.
  • Multimodal / VLM experience - hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data.
  • Model Data Curation - building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.).
  • Distributed ML & data frameworks - PyTorch, Lightning, Ray, Spark, or equivalent for training and large-scale data processing.
  • Scaled MLOps & Tooling - experiment tracking, model registry, MLflow / Weights & Biases, and ML metrics, evaluation, and quality.
  • Development Tools & Eco-System (at scale) - strong Python software development, VDI and cloud-based development environments, CI systems (GitHub Actions), and Docker.

Bonus Points!
  • End-to-end / VLA driving - familiarity with VLM/VLA or end-to-end driving models, trajectory and action grounding, or chain-of-causation / reasoning-trace datasets.
  • Auto-labeling foundation models - experience with segmentation, open-vocabulary detectors, or VLM/LLM-driven data engines for annotation and verification.
  • High-throughput model serving - vLLM, SGLang, or similar for batch auto-labeling and inference at scale.
  • Semantic inference & retrieval - attribute mapping, semantic search, and vector databases (e.g., LanceDB) for automotive data.
  • AV data standards & tooling - scenario-description standards such as Pegasus layers; parsing robotics formats (ROS bags, MCAP) and optimizing columnar storage (Parquet, Arrow).
  • Cloud development & orchestration - Terraform and AWS managed services (S3, ECS, Lambda, DynamoDB, Step Functions, Athena); AWS HyperPod / Anyscale; inference orchestration.
  • Data visualization - Foxglove, FiftyOne (51), three.js, OpenGL, or similar for dataset inspection and accessibility.
  • Evaluation & research - closed-loop / open-loop evaluation frameworks (e.g., NavSim-style planning metrics); publications in top-tier CV/AI/Robotics venues (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, CoRL).

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Additional Information
At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102744
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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