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Remote Geologist In Training Jobs in New York (NOW HIRING)

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Mon-Fri Remote We Offer: Medical, Dental & Vision Benefits plus, HSA & FSA Savings Accounts ... Maintains a consistent in-market presence to reinforce training application and sales execution ...

Create, maintain, and update engaging training courses for both online and in-person delivery ... Candidate can be located anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements

Sales Training Manager

Manhattan, NY · Remote

$120K - $140K/yr

Sales Training Manager Full Time Role Remote (EST Hours) Here's how you'll become a key player with ... Deliver training sessions both virtually and in-person for a dynamic learning experience * Use ...

New

Client Training Manager

New York, NY · Remote

$130K - $160K/yr

Syllo is a software company in the legal space that offers an AI-powered litigation workspace that ... If you're excited about AI and passionate about being part of a remote team that seeks to transform ...

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Remote Geologist In Training information

What is the difference between Remote Geologist In Training vs Remote Geologist?

AspectRemote Geologist In TrainingRemote Geologist
CredentialsTypically requires a bachelor's degree in geology or related field; some states may require certification or licensureRequires a bachelor's degree; licensure or certification often necessary for independent practice
Work EnvironmentSupervised field and office work, often entry-level, with remote data analysisMore autonomous, involved in project management, data interpretation, and client communication
Industry UsageCommonly used for entry-level roles, internships, or training positionsUsed for licensed professionals conducting independent geological assessments

The main difference between a Remote Geologist In Training and a Remote Geologist lies in experience and licensure. The In Training role is typically entry-level, focusing on gaining experience under supervision, while the Geologist is a licensed professional with greater responsibilities and independence in geological work.

What are the most commonly searched types of Geologist In Training jobs in New York? The most popular types of Geologist In Training jobs in New York are:
What are popular job titles related to Remote Geologist In Training jobs in New York? For Remote Geologist In Training jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Geologist In Training jobs in New York look for? The top searched job categories for Remote Geologist In Training jobs in New York are:
What cities in New York are hiring for Remote Geologist In Training jobs? Cities in New York with the most Remote Geologist In Training job openings:
Infographic showing various Remote Geologist In Training job openings in New York as of July 2026, with employment types broken down into 39% Locum Tenens, 32% Internship, 19% Full Time, 4% Part Time, 1% Contract, and 5% Summer. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
ML Systems Engineer - Fully Remote | Upto $110/hr

ML Systems Engineer - Fully Remote | Upto $110/hr

Mercor

New York, NY • Remote

$110/hr

Full-time

Posted 14 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: PyTorch Expert
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Triton or Pallas.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.