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Remote Figure Drawing Model Jobs in California (NOW HIRING)

Drafter/CAD Operator II

San Diego, CA ยท On-site +1

$26.92 - $29.33/hr

The Draft/CAD Operator II position prepares detailed drawings and computer models for projects ... Hybrid or remote work is not authorized Job Title * Drafter/CAD Operator II Salary * $26.92-$29.33 ...

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Remote Figure Drawing Model information

How do remote figure drawing models typically interact with artists during virtual sessions?

Remote figure drawing models usually work through video conferencing platforms, where they pose live for groups or individual artists. Clear communication is essential; models often receive pose requests or timing cues via chat or voice from session hosts or artists. A reliable internet connection and a well-lit, neutral background are important for delivering a clear visual reference. While models work independently from their own space, they are part of a collaborative experience, helping artists improve their skills and often receiving real-time feedback.

What are remote figure drawing models?

Remote figure drawing models are individuals who pose for artists virtually, typically using video conferencing software or live streaming platforms. They provide a variety of poses, often in different durations and attire, to help artists practice and improve their drawing skills. Unlike traditional figure drawing sessions held in studios, remote models work from their own space and connect with artists around the world. This setup offers flexibility and accessibility for both models and participants. Remote figure drawing is popular among art schools, workshops, and independent artists.

What are the key skills and qualifications needed to thrive as a Remote Figure Drawing Model, and why are they important?

To thrive as a Remote Figure Drawing Model, you need a strong sense of body awareness, the ability to hold poses for extended periods, and reliable internet access, typically with some prior experience or training in figure modeling or life drawing settings. Familiarity with video conferencing platforms (such as Zoom or Skype) and proper lighting and camera setup are important technical requirements. Professionalism, punctuality, and comfort with remote communication are essential soft skills that help build trust with artists and organizers. These skills ensure that sessions run smoothly and efficiently, allowing artists to capture accurate references in a virtual environment.

What is the difference between Remote Figure Drawing Model vs Remote Life Drawing Instructor?

AspectRemote Figure Drawing ModelRemote Life Drawing Instructor
CredentialsNone typically required, but artistic portfolio may be neededArt teaching certification or experience often preferred
Work EnvironmentPhotographed or live models in studio or online settingsOnline classroom or workshop platforms
Employer & IndustryArt studios, online art platforms, freelanceArt schools, online education platforms, freelance instructor

Remote Figure Drawing Models primarily pose for artists or students without teaching responsibilities, focusing on providing accurate anatomy references. Remote Life Drawing Instructors, on the other hand, teach or guide students in drawing from live or posed models. While both roles involve art and anatomy, models focus on posing, whereas instructors focus on teaching and guiding art practice remotely.

What are the most commonly searched types of Figure Drawing Model jobs in California? The most popular types of Figure Drawing Model jobs in California are:
What cities in California are hiring for Remote Figure Drawing Model jobs? Cities in California with the most Remote Figure Drawing Model job openings:
Infographic showing various Remote Figure Drawing Model job openings in California as of June 2026, with employment types broken down into 38% Full Time, 49% Part Time, and 13% Temporary. Highlights an 87% In-person, and 13% Remote job distribution.

Platform Engineer, Model Shaping

Together AI

San Francisco, CA โ€ข On-site, Remote

$200K - $290K/yr

Other

Medical

Posted 4 days ago


Job description

About the Role

The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.

As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together's platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments.

You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams.

Responsibilities
  • Design and build Together's systems and infrastructure for model customization, including user-facing features and internal improvements
  • Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response
  • Create and improve internal tooling for deployment, continuous integration, and observability
  • Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape
  • Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together
Requirements
  • 3+ years of experience in building infrastructure or backend components of production services
  • Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms
  • Strong software engineering background in Python or Go
  • Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
  • Cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment
  • Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise
  • Comfortable operating across the stack, from cluster operations and infrastructure automation to backend service development
Experience in any of the following will make you stand out:
  • Developing large-scale production systems with high reliability requirements
  • Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte)
  • Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA's networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA)
  • Deployment of services for AI training or inference
  • Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools
  • Maintaining or contributing to open-source projects
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy