• Culinary Agents
  • $78,370.00 -120,320.00/year*
  • New York, NY
  • Scientific Research
  • Full-Time
  • 334 W 39th St

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Jumpstart your career as an intern at Culinary Agents! Our internship program is structured to empower you and further develop your skills to set you with a firm foundation as you enter the workforce. This program is ideal for current students and recent grads who are looking to gain-on-the-job training within their respective fields.

Culinary Agents is looking for a Taxonomy/Data Entry Intern to join our team. The Taxonomy/Data Entry Intern works under Chief Technology Officer and Taxonomy Manager to collect and enter user/client data into Culinary Agents platform

This opportunity is for you if:

  • you LOVE food and plan your travel around where to eat
  • you LOVE helping people win - our clients, your teammates and CA!
  • you always ask why and don't stop until the problem is solved/you have an answer
  • you crave being consistently challenged
  • you alway seek to improve, learn and apply your learnings

To be considered for this position, ensure the following steps have been taken. Applicants who do not complete these two steps will not be considered.

  1. SUBMIT A COVER LETTER WITH YOUR APPLICATION -Detail why you feel you are a good fit for the Culinary Agents Team and specifically this position
  2. COMPLETE YOUR CULINARY AGENTS PROFILE -Make sure that your Experience (work and education) is up-to-date

Why Culinary Agents?

Not many companies have the opportunity to fundamentally change an entire industry. Led by a team of successful serial entrepreneurs, Culinary Agents (CA) is an early-stage venture backed startup doing just that by building the only trusted professional network for the food, beverage and hospitality industry. Working with 16,000+ businesses in over 50 cities nationally, CA already works with some of the best names in the business including Daniel Boulud, Thomas Keller, Mario Batali, Danny Meyer as well as recognizable brands like Whole Foods, Baccarat, and the Mandarin Oriental to help with job sourcing, matching, and networking.

Our team has deep hospitality industry experience combined with strong technology and business expertise. We re committed to working with the service industry to support job and talent search needs with the same level of hospitality and attention as they offer their guests day in and day out.

What to Expect:

  • You will meet and interact with the founders, team and fellow interns
  • You will be assigned a Buddy from the Culinary Agents team to whom you can ask questions and get guidance
  • You will meet daily to discuss projects with the team
  • You will collaborate with a team to deliver a finished product at the end of every two weeks, during this time you will be responsible for completing specific tasks pertaining to each project
  • You will participate in bi-weekly Demo Days which will include a company-sponsored lunch and discuss on-going projects or share / present any completed projects (cross functional)

What You'll Gain from the Internship:

  • Work samples to add to your work portfolio
  • Experience working on group projects
  • The ability to use and develop your skills in a startup environment

Examples of Projects for Taxonomy/Data Entry Interns:

  • Enter data into Culinary Agents platform.
  • Research and data collection based on product requirements
  • Contributes to team effort by accomplishing related results as needed

A commitment of 16 - 32 hours/week (2-4days/week) is required.
Interns are required to report to our NYC office, working remotely is not currently avaialble.

Compensation details

While this internship is unpaid, interns will receive a daily lunch stipend which will be paid out on a bi-weekly basis.

More detail about Culinary Agents, please visit
Associated topics: air monitoring, climate, conservation, ecological, farm, field, ocean, sustainability, water, wetlands

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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