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Modeling Jobs in Monroe, MI (NOW HIRING)

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

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 ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

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 ...

Wade Trim

Senior IT Data Architect

Taylor, MI · Hybrid

$62.50 - $83.50/hr

Design and maintain enterprise data models, integration patterns, and architecture standards that unify data across Wade Trim databases and enterprise applications * Provide curated, governed, and ...

New

Wade Trim

Senior IT Data Architect

Taylor, MI · On-site

$62.50 - $83.50/hr

Design and maintain enterprise data models, integration patterns, and architecture standards that unify data across Wade Trim databases and enterprise applications * Provide curated, governed, and ...

New

Wade Trim

Senior IT Data Architect

Taylor, MI · Hybrid

$62.50 - $83.50/hr

Design and maintain enterprise data models, integration patterns, and architecture standards that unify data across Wade Trim databases and enterprise applications * Provide curated, governed, and ...

New

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful ...

Optimal Inc.

Prototype Build Engineer

Allen Park, MI · On-site

$32.50 - $36.50/hr

The New Model Program Engineer plays a critical role in the successful launch of new vehicle and powertrain models within North America manufacturing plants. This position is responsible for the ...

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Modeling information

See Monroe, MI salary details

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$70

How much do modeling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for modeling in Monroe, MI is $37.34, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $40.29 per hour, depending on experience, location, and employer.

What is modeling?

A modeling job involves showcasing clothing, products, or concepts for advertisements, fashion shows, or promotional events. Models work in various industries such as fashion, commercial, fitness, and art. They pose for photographers, walk on runways, or demonstrate products for brands. Success in modeling often requires a strong portfolio, good physical presentation, and professional networking.

What types of modeling assignments can I expect, and how does the work schedule typically look?

Modeling assignments can range from fashion runway shows and editorial photo shoots to commercial advertisements, product promotions, or fitness campaigns. The work schedule is often variable, with early mornings, late evenings, or weekend commitments depending on the client’s needs, and assignments may be short-term or ongoing. Models frequently work with photographers, stylists, makeup artists, and directors, requiring strong teamwork and adaptability. Flexibility and professionalism are key, as job notifications can come at short notice and may require travel. Building a diverse portfolio and positive industry relationships can open doors to more consistent and high-profile opportunities.

What are the key skills and qualifications needed to thrive in modeling, and why are they important?

To excel in Modeling, individuals need physical fitness, confidence, a strong sense of body awareness, and often a portfolio of professional photos; previous experience or training in runway walking or posing is also beneficial. Familiarity with industry tools such as digital comp cards, booking platforms, and sometimes contracts or modeling agency agreements is typically required. Exceptional communication skills, punctuality, and the ability to adapt to feedback help models stand out in this highly competitive field. These qualifications and personal attributes are essential for representing brands effectively and securing ongoing work in various modeling environments.

How do you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or submit applications to modeling agencies. Having a good appearance, understanding industry standards, and maintaining a healthy lifestyle can improve chances of success.

What are the most commonly searched types of Modeling jobs in Monroe, MI?

The most popular types of Modeling jobs in Monroe, MI are:

What cities near Monroe, MI are hiring for Modeling jobs?

Cities near Monroe, MI with the most Modeling job openings:

Modeling jobs near you
Infographic showing various Modeling job openings in Monroe, MI as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,663 per year, or $37.3 per hour.

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 14 days ago

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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