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Model Call Jobs (NOW HIRING)

Mission Hospital McDowell

CRNA - General

Marion, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... solo call model Call responsibilities: surgical cases, OB and other hospital needs including ED support, airway management, and line placement >50% callback rate on primary call nights Must be ...

Henry Ford Health System

Neurohospitalist

Clinton, MI · On-site

APP support 5 days a week shift model Call coverage - 1-2 days/month Must have completed an ACGME/AOA approved Neurology residency program. Vascular Neurology fellowship or vascular experience ...

W. W. Tire Service

Farm Service Tire Technician

Fort Pierre, SD · On-site

$17 - $20.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

If you don't see the right tire model call or stop in and our staff at one of our locations in Bryant, Brookings, Watertown, Ft. Pierre, Pierre, Winner, Huron and Clark, SD can help you make a ...

W. W. Tire Service

Tire Technician

Clark, SD

$15.75 - $19.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

If you don't see the right tire model, call or stop in and our staff at one of our locations in Bryant, Brookings, Watertown, Ft. Pierre, Pierre, Winner, Huron, and Clark, SD can help you make a ...

W. W. Tire Service

Tire Technician

Watertown, SD · On-site

$15.50 - $19/hr

  • Medical

  • Dental

  • Vision

  • Retirement

If you don't see the right tire model, call or stop in and our staff at one of our locations in Bryant, Brookings, Watertown, Ft. Pierre, Pierre, Winner, Huron, and Clark, SD can help you make a ...

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Showing results 21-40

All JobsModel Call Jobs

Model Call information

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How much do model call jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for model call in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

How does a model call work?

A model call is a scheduled event where models are selected to participate in photoshoots, fashion shows, or promotional campaigns. Models typically sign in at a designated time, often bring their portfolio or comp cards, and may be evaluated by the casting director or photographer for suitability. The process usually involves quick auditions or fittings, and models are chosen based on appearance, experience, and the project's requirements.
What cities are hiring for Model Call jobs? Cities with the most Model Call job openings:
Infographic showing various Model Call job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 14% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Agentic AI Engineer (Xora Portfolio Company)

Xora Innovation

San Diego, CA • On-site

$110K - $148K/yr

Full-time

Posted 10 days ago

Job description

ABOUT ELEMYNT
ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance simulation, and modern software engineering to accelerate the design, validation, and deployment of new materials. Our work sits at the intersection of AI, physics, and large-scale computation. The problems are hard, the stakes are high, and the impact is tangible.
ABOUT THE ROLE
This role builds the layer every LLM-powered feature on our platform is built on: one interface over many model providers, the agent orchestration that runs multi-step workflows, the retrieval and prompt systems that ground them, and the tracing and evaluation that keep them honest. It is foundational and deeply hands-on.
In this role, you'll design agents that plan, call tools, and reason over the results, then make them dependable in production: traceable, evaluated, and safe to run with a person in the loop where it counts. Because the platform runs inside customers' own secure environments, on their compute clusters, in their cloud, or across a hybrid of the two, the reasoning it produces has to stay auditable and its guardrails have to travel with the software.
Every LLM feature the team ships stands on this layer: what it can do sets what they can build, and how faithfully it reasons sets how far they can trust it.
WHAT YOU WILL DO
  • Build the provider abstraction that lets any workflow call, swap, or add a model provider by configuration, across commercial APIs and self-hosted endpoints, with structured-output validation, retries, and cost tracking.
  • Build the agent orchestration where a planning agent dispatches specialized sub-agents in parallel on a stateful framework, with durable checkpoints, conditional branching, and the context and memory management that keeps multi-step workflows coherent across long task horizons.
  • Build human-in-the-loop checkpoints so low-confidence or high-stakes steps route to a person before an agent proceeds.
  • Wrap existing platform capabilities as typed, registered tools the agents call, with a clean boundary between the agent layer and the systems it builds on.
  • Design retrieval end to end, from ingestion, embeddings, and chunking through hybrid search and reranking, and assemble the context that grounds each model call.
  • Build the prompt layer: versioned prompts, few-shot sets, and captured reasoning, so every change is tracked and every call is inspectable.
  • Expose agents and guardrailed model access as tools behind one integration point that backend services, the frontend, and notebooks all consume.
  • Instrument every model call, tool invocation, and agent run as traced spans with prompt, model, and tool lineage, so behavior and cost stay debuggable.
  • Build the evaluation framework, deterministic trace metrics alongside LLM-as-judge scoring for faithfulness, that gates changes and catches regressions before they ship.

WHAT WE ARE LOOKING FOR
  • Bachelor's or Master's degree in Computer Science or a related engineering field, and 5+ years building and shipping production software, with real depth building LLM or agent systems in production.
  • Strong Python and solid engineering practice: async code, typing, testing, modular design, and code review, plus a track record of shipping systems others depend on.
  • Hands-on experience building agentic or LLM systems in production: orchestration loops, tool-calling, structured outputs, and context and memory management for reliable long-running workflows.
  • Experience working across multiple model providers behind a single abstraction, with routing, fallback, and a feel for the cost and latency trade-offs.
  • Experience building retrieval systems end to end: embeddings, chunking, hybrid search, reranking, and vector databases.
  • Experience with LLM evaluation and guardrails: building eval sets and harnesses, LLM-as-judge scoring, regression gating, and output-quality and safety checks.
  • Experience instrumenting LLM systems for observability: tracing model and tool calls, versioning prompts, and using traces to debug and improve real behavior.
  • Comfort owning ambiguous systems end to end in a fast-moving early-stage environment.

NICE TO HAVE
  • Stateful agent-orchestration frameworks such as LangGraph or AutoGen, and durable-execution engines such as Temporal for long-running workflows.
  • Experience building MCP tools or servers, or similar tool-calling integration layers.
  • LLMOps and evaluation tooling such as MLflow or Langfuse for tracing, prompt versioning, and evaluation.
  • Human-in-the-loop and interrupt-driven agent patterns for review and control.
  • Applying LLMs to scientific or technical workflows, grounding reasoning in tool outputs and structured data.
  • Fluency with modern AI coding assistants, or open-source contributions to AI or agent tooling.

LOCATION
Singapore or United States. We're hiring in both to reach the right person. Work model is on-site or hybrid, set per location.
CLOSING NOTE
If you don't tick every box but this is clearly your kind of work, get in touch.

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