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World Agent Direct Jobs (NOW HIRING)

Judgment Labs

Research Engineer

San Francisco, CA · On-site

You'll work directly with real-world agent data, apply frontier methods in production, and see your ... You are intellectually curious, self-directed, and stay up to date with the latest research, blogs ...

DeepMind

Research Engineer, DeepMind

Mountain View, CA · On-site

$241K/yr

Build automated evaluation pipelines that capture real-world agent quality beyond lab benchmarks ... from direct customer engagements to a scalable, self-improving deployment model. Information ...

Epicur

Direct to Office Professional

Mount Laurel, NJ · On-site

$18/hr

In 2016, Stokes Healthcare built a world-class facility (which became Epicur Pharma), as a ... Job Title Call Center Agent - Direct to Office (DTO) FLSA Status Non-exempt Salary Starting at $18 ...

Nvidia

Director, Agent Marketing

Santa Clara, CA · On-site

Come join the team and see how you can make a lasting impact on the world. NVIDIA has been ... NVIDIA is looking for a head of agent marketing to help them grow. This job will help them be found ...

Agent IQ

Director of Product & Market Strategy

Seattle, WA · On-site

$140 - $210/hr

About Agent IQ At Agent IQ, we believe that the future of banking isn't just digital--it's personal ... We are building the world's leading AI-powered relationship banking platform, helping banks and ...

Magline, INC

Customer Service Agent

Standish, MI · On-site

$12.75 - $17/hr

... world-class customer experience. Responsibilities: The Customer Service Agent will support internal and external customers and dealers through email, chat and direct phone calls. Daily activities ...

CARP-HAYE DIEM LLC

Real Estate Agent

York, PA · On-site

$30K - $200K/yr

Keller Williams is the world's largest real estate franchise with more than 200,000 associates ... directed to Kaplan Real Estate Education. Job Types: Full-time, Part-time Pay: $30,000.00 - $200 ...

CARP-HAYE DIEM LLC

Real Estate Agent

York, PA · On-site

$30K - $200K/yr

Keller Williams is the world's largest real estate franchise with more than 200,000 associates ... directed to Kaplan Real Estate Education. Job Types: Full-time, Part-time Pay: $30,000.00 - $200 ...

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World Agent Direct information

What is the difference between World Agent Direct vs Travel Agent?

AspectWorld Agent DirectTravel Agent
CredentialsTypically requires industry certifications like IATA or CLIAOften requires similar certifications, but varies by agency
Work EnvironmentOperates mainly online or remotely, focusing on global travel bookingsWorks in physical offices or retail locations, handling local and international travel
Employer & Industry UsageUsed by travel agencies, tour operators, and online booking platformsEmployed by travel agencies, retail outlets, or as independent agents
Search & Comparison IntentPeople compare World Agent Direct with travel agents for online booking optionsConsumers compare travel agents for personalized service and local expertise

While both roles involve travel planning, World Agent Direct primarily focuses on online, global bookings with industry certifications, whereas travel agents often provide personalized, in-person services. Understanding these differences helps travelers choose the right service for their needs.

What are the key skills and qualifications needed to thrive as a World Agent Direct travel agent, and why are they important?

To thrive as a World Agent Direct travel agent, you need strong knowledge of travel products, booking procedures, and customer service, typically supported by experience in the travel industry or related certifications. Familiarity with reservation platforms like World Agent Direct, GDS systems (e.g., Sabre, Amadeus), and CRM tools is essential. Exceptional communication, attention to detail, and problem-solving abilities help agents build client trust and manage complex itineraries. These skills ensure efficient booking processes, high client satisfaction, and business growth in a competitive market.

What is a World Agent Direct agent?

World Agent Direct agents are travel professionals who use the World Agent Direct platform, which is operated by Delta Air Lines, to book flights, manage reservations, and access exclusive travel resources for their clients. The platform is designed specifically for travel agents, providing them with tools to efficiently manage customer travel needs and access special fares and promotions. World Agent Direct helps travel agents streamline the booking process and stay updated with the latest airline policies, product updates, and industry news.

How does a World Agent Direct role typically collaborate with internal teams to ensure seamless client experiences?

As a World Agent Direct, you frequently work alongside sales, customer service, and operations teams to coordinate client bookings, resolve issues, and provide personalized travel solutions. Regular communication and teamwork are essential, as you may need to clarify client preferences, confirm travel arrangements, or address last-minute changes. This collaborative environment not only ensures smooth client experiences but also offers opportunities to learn from colleagues in different specialties, enhancing your own professional growth.
More about World Agent Direct jobs
What cities are hiring for World Agent Direct jobs? Cities with the most World Agent Direct job openings:
What states have the most World Agent Direct jobs? States with the most job openings for World Agent Direct jobs include:
What job categories do people searching World Agent Direct jobs look for? The top searched job categories for World Agent Direct jobs are:
World Agent Direct jobs near you
Infographic showing various World Agent Direct job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Research Engineer

Judgment Labs

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

The Role:
We are looking for Research Engineers to build AI systems that use agent interaction data to understand how agents behave, evaluate them at scale, and improve them through learning and feedback.
Your research will not live on a whiteboard. You'll work directly with real-world agent data, apply frontier methods in production, and see your work ship into the product. By making agent behavior measurable and debuggable, your systems will support teams deploying agents across finance, legal, operations, and other high-stakes workflows. You will own projects end-to-end, with significant autonomy, and work closely with the team to build self-improving agent systems.
What You'll Do:
  • Build AI systems to aggregate, index, and analyze large-scale long-running agent interaction data in order to extract meaningful signals
  • Design and implement post-training and optimization workflows to improve agents, both internally and for customers
  • Build agent platform infrastructure, including orchestration, runtimes, and developer tools that help teams define, test, deploy, and iterate on complex agent workflows
  • Build internal tools and infrastructure that support rapid experimentation, analysis, and training
  • Work closely with product to integrate agents into customer-facing workflows
  • Collaborate with external companies and research partners on frontier AI research
What We're Looking For
Every hire clears three bars, no exceptions:
  • Agency. You are intellectually curious, self-directed, and stay up to date with the latest research, blogs, trends, and ideas.
  • Depth of thought. You can reason clearly about abstract systems, and ideally have experience working on agents, RL, or the infrastructure that supports them.
  • Ownership. You own outcomes, not just tasks. You use freedom to experiment responsibly, make business-driven decisions, and focus first on work that moves the company forward.

More specifically, you should bring strength in at least one of the following areas:
  • Data quality, evaluation, benchmarking, and hands-on work with messy production data
  • Agent systems built or evaluated in real-world or production settings
  • Reinforcement learning, post-training, agents, or machine learning fundamentals
  • Infrastructure and systems work across training, data pipelines, evaluation, or model serving
  • Translating research into product while balancing customer constraints, technical tradeoffs, and business impact
  • Turning ambiguous problems into clear, well-designed plans

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