ZipRecruiter

Log In

2

Part Time Swissport Ramp Agent Jobs in New York (NOW HIRING)

previous page

Showing results 21-24

All JobsSwissport Ramp Agent JobsPart Time Swissport Ramp Agent JobsPart Time Swissport Ramp Agent Jobs in New York

Part Time Swissport Ramp Agent information

What are the main duties of a part time Swissport ramp agent?

A Part Time Swissport Ramp Agent is responsible for handling various ground operations at airports, including loading and unloading baggage, guiding aircraft to and from gates, operating ground service equipment, and ensuring the safety of the ramp area. They work as part of a team to ensure flights depart and arrive on time while adhering to safety and security procedures. This role typically involves physical work outdoors in all weather conditions and requires flexibility to work early mornings, evenings, weekends, and holidays.

What are the key skills and qualifications needed to thrive as a part time Swissport ramp agent?

To thrive as a Part Time Swissport Ramp Agent, you need physical fitness, attention to detail, and a high school diploma or equivalent, along with eligibility for an airport security badge. Familiarity with ground support equipment, baggage handling systems, and safety protocols is essential, and some employers may require a valid driver’s license. Strong teamwork, communication, and time management skills help you coordinate effectively and handle high-pressure situations. These skills and qualities are vital for ensuring passenger safety, efficient operations, and timely aircraft turnaround in a demanding airport environment.

What are the most common challenges faced by part time Swissport ramp agents during their shifts?

Part Time Swissport Ramp Agents often work in dynamic and fast-paced environments, which can present challenges such as adapting to changing weather conditions, tight flight schedules, and physically demanding tasks like lifting heavy luggage or handling cargo. Effective communication with team members is crucial to ensure safety and efficiency on the ramp. Additionally, following strict safety protocols and remaining alert to aircraft movements are essential aspects of the job. Despite these challenges, the role offers valuable teamwork experience and opportunities to learn about airport operations.

What is the difference between Part Time Swissport Ramp Agent vs Part Time GSE Technician?

AspectPart Time Swissport Ramp AgentPart Time GSE Technician
CredentialsHigh school diploma or equivalent; basic safety trainingHigh school diploma; technical or vocational training often preferred
Work EnvironmentAirports, outdoor tarmac, aircraft handling areasAirport maintenance areas, GSE (Ground Support Equipment) bays
Employer & Industry UsageMajor airlines, ground handling companies like SwissportGround support equipment companies, airline maintenance teams
Common Search & ComparisonYesYes

The Part Time Swissport Ramp Agent primarily handles aircraft loading, baggage handling, and ground support on the tarmac, requiring safety training and physical stamina. The Part Time GSE Technician focuses on maintaining and repairing ground support equipment, often needing technical skills. Both roles are essential in airport operations and share similar work environments, but they differ in job functions and skill requirements.

Can you work part-time as a Swissport ramp agent?

Yes, Swissport ramp agent positions are often available on a part-time basis, allowing employees to work fewer hours than full-time schedules. Part-time roles typically require flexibility with shifts, including nights and weekends, and may have different eligibility criteria for benefits compared to full-time positions.

How much do part time Swissport ramp agents make?

Part-time Swissport ramp agents typically earn between $12 and $16 per hour, depending on experience, location, and shift timings. They often receive additional benefits such as training in safety procedures and equipment handling. Wages may vary based on airline contracts and company policies.

Is it hard to get hired as a part time Swissport ramp agent?

Getting hired as a part-time Swissport ramp agent typically involves meeting basic requirements such as age, physical fitness, and a valid work permit. The application process often includes an interview and background check, and prior experience or certifications in airport ground operations can improve chances. Competition varies by location and airline demand, but the role generally has a straightforward hiring process for qualified candidates.

What are the most commonly searched types of Swissport Ramp Agent jobs in New York?

The most popular types of Swissport Ramp Agent jobs in New York are:

What are popular job titles related to Part Time Swissport Ramp Agent jobs in New York?

For Part Time Swissport Ramp Agent jobs in New York, the most frequently searched job titles are:

What job categories do people searching Part Time Swissport Ramp Agent jobs in New York look for?

The top searched job categories for Part Time Swissport Ramp Agent jobs in New York are:

What cities in New York are hiring for Part Time Swissport Ramp Agent jobs?

Cities in New York with the most Part Time Swissport Ramp Agent job openings:

Part Time Swissport Ramp Agent jobs near you

Remote | Machine Learning Engineer (AI Coding Agents) Up to $80/hour

24-MAG LLC

Manhattan, NY • On-site, Remote

$80/hr

Part-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Specialised Part-Time Consulting Opportunity for Experienced Machine Learning Engineers

We are sharing a specialised part-time consulting opportunity for experienced machine learning engineers with hands-on experience using AI coding agents and building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.

This sprint-based role supports an advanced AI research initiative focused on evaluating frontier coding models through realistic machine learning engineering workflows. Selected professionals will use AI coding agents to complete technical tasks, review model-generated implementations, identify bugs and failure modes, and compare how different models perform across practical ML engineering scenarios.

Key Responsibilities

Machine Learning Engineering Evaluation

  • Review complex machine learning and AI engineering tasks completed with frontier coding agents
  • Evaluate implementations involving model training, inference systems, MLOps, and LLM applications
  • Assess technical correctness, architecture choices, implementation quality, and engineering trade-offs
  • Apply professional ML engineering judgment to realistic production-oriented scenarios

AI Coding Agent Testing

  • Use AI coding agents as part of hands-on technical workflows
  • Evaluate how effectively coding models interpret requirements and implement solutions
  • Identify bugs, incomplete implementations, edge cases, and unexpected behaviour
  • Assess where models require additional prompting, correction, or manual engineering intervention

Technical Quality & Failure Analysis

  • Identify performance issues, reliability problems, and model failure modes
  • Review generated code for maintainability, correctness, and practical usability
  • Evaluate whether implementations would function appropriately in realistic ML environments
  • Document technical strengths, weaknesses, and important implementation risks

Model Comparison & Technical Judgment

  • Compare outputs produced by multiple frontier coding models
  • Assess differences in implementation strategy, code quality, technical reasoning, and reliability
  • Determine which approaches best satisfy task requirements
  • Provide clear written assessments explaining relevant engineering trade-offs

Ideal Profile

Strong candidates may have:

  • At least 2 years of professional machine learning engineering experience
  • Experience building production ML systems, AI-powered applications, or model-serving infrastructure
  • Hands-on experience with model training, inference, deployment, or MLOps
  • Experience developing LLM applications or integrating foundation models into production systems
  • Regular use of AI coding agents within software or machine learning development workflows
  • Strong ability to evaluate model-generated code and technical implementation decisions
  • Excellent debugging, analytical reasoning, and written communication skills
  • Ability to work efficiently within short, intensive project sprints

Educational Background

  • A degree in computer science, machine learning, artificial intelligence, software engineering, or a related technical discipline may be helpful
  • Advanced study in machine learning or computer science may strengthen an application
  • Equivalent professional experience building and deploying production ML systems may also be considered
  • Practical engineering depth is particularly important for this engagement

Nice to Have

  • Experience with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable AI coding tools
  • Production experience deploying machine learning models
  • Familiarity with model-serving architectures and inference optimisation
  • Experience building LLM-powered applications or agentic systems
  • Knowledge of MLOps, deployment pipelines, monitoring, or model infrastructure
  • Experience evaluating generated code across multiple AI coding systems
  • Previous exposure to AI evaluation, benchmark development, or structured technical review

Why This Opportunity

  • Work directly with frontier AI coding agents on realistic ML engineering problems
  • Evaluate advanced models across production-oriented machine learning workflows
  • Apply practical engineering experience to identify subtle technical failure modes
  • Compare multiple coding systems and help improve their reliability
  • Participate in intensive technical sprints with task-based compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Sprint-based project with task windows typically spanning approximately 12–24 hours
  • Compensation is $400 per accepted task
  • Typical tasks require approximately 2–3 hours after ramp-up
  • Compensation is tied to successfully accepted work
  • Work may include ML implementation review, coding-agent evaluation, debugging, model comparison, and technical analysis
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Apply