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Hand Modeling Jobs (NOW HIRING)

Ranch Hand

Olsburg, KS

$45K - $55K/yr

... model that gives us control of every step, from ranch to final cut. Our cattle are raised on the ... The Ranch Hand is responsible for supporting the day-to-day operations of Booth Creek Wagyu Ranch.

Ranch Hand

Olsburg, KS

$45K - $55K/yr

... model that gives us control of every step, from ranch to final cut. Our cattle are raised on the ... The Ranch Hand is responsible for supporting the day-to-day operations of Booth Creek Wagyu Ranch.

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Hand Modeling information

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How much do hand modeling jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for hand modeling in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $19.23 per hour, depending on experience, location, and employer.

Is 25 too old to start modeling?

Hand modeling is a niche profession where age is less restrictive than in other modeling fields. Many successful hand models start in their 20s or later, and having well-maintained skin and nails can be more important than age. Experience, grooming, and a unique look often matter more than age in this specialty.

Are hand models in high demand?

Hand modeling is a niche profession with steady demand in advertising, fashion, and product photography, especially for jewelry, skincare, and hand care products. Opportunities can vary based on industry needs, and successful hand models often maintain well-groomed hands and may need to build a strong portfolio to attract clients.

What is a Hand Modeling job?

A hand modeling job involves using your hands to showcase products in advertisements, commercials, and editorial shoots. Hand models are often hired for their well-groomed, symmetrical hands and fingers. They may pose with jewelry, skincare products, or handle objects to highlight their features. Professional hand models must maintain their hands carefully and often work with photographers, directors, and brands. It is a specialized niche within the modeling industry that requires precision and attention to detail.

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

To thrive as a Hand Model, you need well-groomed, symmetrical, and photogenic hands, along with an understanding of posing and hand care routines. Familiarity with photographic studios, posing aids, and sometimes specialized skincare products is beneficial, though no formal certifications are typically required. Patience, attention to detail, and the ability to take direction help hand models excel during long shoots and precise positioning. These skills ensure consistent professional presentation and maximize opportunities in advertising, fashion, and commercial work.

What exactly do hand models do?

Hand models are professionals who showcase hands and fingers in photographs or videos for advertising, product packaging, and media. They focus on maintaining well-groomed, healthy hands and often work with photographers, makeup artists, and clients to highlight products like jewelry, skincare, or accessories.

How much do hand models get paid?

Hand models typically earn between $100 and $1,000 per day, depending on experience, the type of assignment, and the usage rights. Rates can vary widely, with commercial work and high-profile campaigns paying more, and some models earning additional income through licensing and royalties.

What does a typical workday look like for a Hand Model?

A typical workday for a Hand Model often involves traveling to studios or on-location shoots, where you'll work closely with photographers, stylists, and product teams to showcase items like jewelry, cosmetics, or technology. You'll spend considerable time following exact instructions to position your hands for the best angles and lighting, with frequent attention paid to skincare and nail maintenance before and during shoots. Downtime can be spent waiting for setup changes, reviewing creative direction, or caring for your hands. Collaboration with creative professionals and adaptability to different shoot requirements are integral parts of the job, offering variety and the potential to work on high-profile campaigns.

More about Hand Modeling jobs
What cities are hiring for Hand Modeling jobs? Cities with the most Hand Modeling job openings:
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What job categories do people searching Hand Modeling jobs look for? The top searched job categories for Hand Modeling jobs are:
Infographic showing various Hand Modeling job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $38,082 per year, or $18.3 per hour.

Research Scientist - Computer Vision (Hand Tracking & Manipulation)

Mecka AI

New York, NY โ€ข On-site

$170K - $210K/yr

Full-time

Posted 27 days ago


Job description

About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems-where model performance is dictated by data quality.
The Role
While our existing perception division handles state estimation and spatial mapping, this role is dedicated to one of the most critical bottlenecks in embodied AI: dexterous manipulation and human-object interaction. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch focused on 3D hand tracking and articulated pose estimation.
Your core mandate is twofold: building our in-house equivalents to cutting-edge 3D hand and mesh recovery architectures, and developing highly robust interaction models tailored for the heavily occluded, chaotic domain of egocentric manipulation. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.
To achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth manipulation data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete hand-object perception loop for our data engine.
What You'll Work On
Architecting Proprietary Articulation Models
  • Zero-to-One Model Development: Design, implement, and train state-of-the-art networks for 3D hand pose estimation, dense mesh recovery, and kinematic tracking.
  • Large-Scale Distributed Training: Scale multi-view and temporal ML architectures across multi-GPU clusters to handle massive, multi-modal datasets of human hands in action.
  • Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions that enforce biomechanical constraints, temporal smoothness, and physical plausibility.

Egocentric Hand-Object Interaction (HOI)
  • Egocentric Manipulation Modeling: Build and train custom architectures capable of handling the extreme motion blur, severe self-occlusion, and rapid rotations inherent in first-person object manipulation.
  • Dynamic Scene Understanding: Use your models to track objects through complex grasps, segment tools from hands, and map contact points and forces to provide rich regularization for downstream action-conditioned robotics models.

Emergent Perception R&D
  • Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning tactile-visual fusion, fine-grained action segmentation, and novel hardware sensor integrations.
  • Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities for our robotics customers.

Dense Contact & Physics-Aware Tracking
  • Interaction Integration: Connect the outputs of your foundational tracking models into highly optimized pipelines that reason about physical contact surfaces and object affordances, directly bridging the gap between human video data and robotic control policies.
Who You Are
Required Background
  • Deep expertise in Deep Learning, 3D Computer Vision, and specifically Articulated Tracking / Hand Pose Estimation.
  • Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning existing checkpoints.
  • Strong theoretical and practical understanding of parametric hand models, inverse kinematics, and dense mesh estimation.
  • Mastery of PyTorch and deep learning scaling frameworks.
  • Experience handling and curating massive, multi-terabyte image and video datasets for training.
  • Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.

Warning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.
Strong Signals:
  • First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D hand tracking, hand-object interaction (HOI), dexterous manipulation, or human mesh recovery.
  • Specific experience working with massive egocentric manipulation datasets (e.g., Ego4D, Ego-Exo4D, DexYCB, Epic-Kitchens) and solving the unique optimization challenges they present.
  • Experience writing custom CUDA kernels to accelerate 3D operations, differentiable rendering of meshes, or collision/contact computation.
Why This Role?
  • The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth for human manipulation that most academic researchers only dream of.
  • Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.
  • High Impact: The kinematic priors and interaction models you architect will directly define how the next generation of embodied AI agents learn to physically grasp and manipulate the world.