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One Off Jobs in New York (NOW HIRING)

AirOps Inc

AEO/SEO Specialist

Manhattan, NY · On-site

$70 - $110/hr

A builder mindset: you'd rather turn a messy one-off request into a repeatable process than redo it manually every time * Comfort working independently on detail-heavy projects without needing ...

J&S Disposal

Be Seen First

Roll-Off Driver (CDL)

Piscataway, NJ · On-site

$30 - $35/hr

Job Overview We are seeking a motivated and dependable Roll-Off Driver with a valid Commercial ... Phone Number: 732 three one nine 8089 Pay: $30.00 - $35.00 per hour Work Location: In person

Lovable

Lifecycle Marketer, Enterprise

New York, NY · On-site

$19.75/hr

DR - You'll own and operate demand-gen nurture flows for net-new prospects, lifecycle programs for customers (upsell/expansion), partnerships and ad-hoc one-off sends, increasingly driven by AI ...

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All JobsOne Off JobsOne Off Jobs in New York

One Off information

See New York salary details

$11

$38

$118

How much do one off jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for one off in New York is $38.99, according to ZipRecruiter salary data. Most workers in this role earn between $17.08 and $37.32 per hour, depending on experience, location, and employer.

What does a One Off job title mean?

A 'One Off' job title typically refers to a position or task that is performed only once or on a non-recurring basis, rather than as a regular or ongoing role. This could involve a special project, a unique assignment, or a one-time event that requires specific skills or expertise. Often, 'One Off' jobs are temporary and created for a specific need within an organization. Once the task or project is completed, the position usually ends or is dissolved. This type of role can offer flexibility and the opportunity to work on interesting, short-term assignments.

What are the key skills and qualifications needed to thrive as a One Off?

I'm sorry, but 'One Off' is not a recognized real-world professional occupation, so I cannot provide a relevant answer.

What are some common challenges faced by professionals working in one-off project roles, and how can they be addressed?

Professionals in one-off project roles often face challenges such as quickly adapting to new teams and work environments, managing tight deadlines, and ensuring clear communication with stakeholders. Since these projects are typically unique and may not follow established routines, flexibility and proactive problem-solving are crucial. Building rapport quickly with team members, setting clear expectations at the outset, and maintaining open lines of communication can help address these challenges and contribute to project success.

What is the difference between One Off vs Freelance Designer?

AspectOne OffFreelance Designer
CredentialsTypically no formal credentials requiredOften requires a portfolio and relevant design experience
Work EnvironmentUsually project-based, short-termFlexible, remote or on-site, ongoing or project-based
Employer UsageHired by clients for single projectsWorks independently for multiple clients
Search/Comparison IntentLooking for one-time design servicesSeeking ongoing or multiple design projects

While both roles involve design work, a One Off is typically hired for a single, specific project without ongoing commitments. A Freelance Designer often handles multiple projects over time, offering ongoing or varied design services. Understanding these differences helps clients choose the right professional for their needs.

What are popular job titles related to One Off jobs in New York?

For One Off jobs in New York, the most frequently searched job titles are:

What job categories do people searching One Off jobs in New York look for?

The top searched job categories for One Off jobs in New York are:

What cities in New York are hiring for One Off jobs?

Cities in New York with the most One Off job openings:

One Off jobs near you
Infographic showing various One Off job openings in New York as of August 2026, with employment types broken down into 67% Full Time, 25% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $81,108 per year, or $39 per hour.

AI/ML Engineer, RL Environments - Asset Hub

Simple Closure, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Company Overview
Most companies don't end in acquisition - they end in closure. Yet shutdown has never been given the same rigor, clarity, or professionalism as the moments that came before it. Nearly 4 million companies shut down every year, creating a massive, overlooked market. SimpleClosure is building the infrastructure to change that.
Having raised over $20M from leading VCs and trusted by more than 7,000 companies to date, we streamline the entire business dissolution process - from legal and tax to operational and administrative - as one coordinated effort instead of a patchwork of disconnected steps. We go a step further, helping companies sell their remaining assets and return the most value to their stakeholders, through our Asset Hub.
As the leading platform for company shutdowns, we have something no one else does: a continuous, proprietary flow of companies winding down, and the assets they built along the way. Our buyers span the top AI labs, RL environment providers, vertical and enterprise agent builders, VCs and deal-flow partners, domain marketplaces, and much more. Dissolution is our wedge; the marketplace is a big part of where we're headed.
Joining our Asset Hub team means helping to define a new category from the ground up, working on complex, high-stakes problems, and building the products and processes that guide founders through one of the most consequential moments in a company's life.
Job Overview
SimpleClosure is seeking an AI/ML Engineer to turn Asset Hub's one-of-a-kind inventory, and existing AI buyer relationships, into high-value AI-training products. When companies shut down, we acquire the real assets they built - production codebases, workspaces, and databases. Your job is to find the opportunities hidden in that inventory and build them: transforming real-world assets into derivative works - reinforcement-learning environments, agentic task suites, evaluations and verifiers, and training datasets - that are far more valuable to the AI labs, RL-environment providers, and agent builders who already buy from us.
This is a hands-on building role for someone who comes from the RL-environments and AI-training world and has actually created environments and products used to train or evaluate models - that background is essential. You'll prototype fast, then harden what works into repeatable pipelines, working in a small, dedicated Asset Hub pod alongside product, engineering, and the GM of Asset Hub.
*Candidates MUST be located in the New York City Metro area.
Key Responsibilities
  • Take Asset Hub's unique real-world assets - production codebases, workspaces, and databases - and identify how each can become a high-value AI-training product: RL environments, agentic task suites, evals and verifiers, benchmarks, and fine-tuning or trajectory datasets.
  • Design and build the pipeline that turns a raw asset into a derivative work: repository ingestion, test harnessing, commit-mining for task extraction, Docker/sandbox reproducibility, verifier and reward scripts, and QA tooling.
  • Wrap real data in interactive environments - sandboxed application state, MCP servers, and browser/Playwright layers - that buyers can train and evaluate agents against.
  • Spot the commercial opportunity in the inventory: which assets map to current lab and RLE demand, and what derivative product maximizes their value.
  • Prototype quickly, then harden the best ideas into repeatable, scalable pipelines so derivative-work creation isn't one-off.
  • Partner with the Asset Hub buyer/BD side and directly with technical stakeholders at labs and RLE buyers to shape what we build to their training needs.
  • Work with sensitive material - codebases, workspace exports, and proprietary datasets - with strong attention to security, privacy, licensing, and PII handling.
  • Write clean, well-tested code and use AI tooling to move faster; collaborate closely with product, engineering, and the GM of Asset Hub.

Desired Skills & Qualifications
  • RL-environments / AI-training background (critical): you've built RL environments and/or products used to train or evaluate models - environments, agentic task suites, evals, benchmarks, or verifiers. This is the core requirement, not a nice-to-have.
  • Experience: 4-8 years of engineering experience, with meaningful time in the RL-environments, AI-training-data, or model-evaluation ecosystem (at a lab, an RLE/eval company, or a team that shipped training environments or products).
  • Core engineering: strong Python, containers (Docker), and CI/test infrastructure; comfort building reproducible sandboxes from messy real-world code and data.
  • Evals & verification: familiarity with LLM evaluation and agent harnesses (SWE-bench-style setups, Verifiers, HUD, or similar) and with verifier/reward design, including resistance to reward hacking.
  • Ownership: a builder's temperament - takes projects from concept to production, works scrappily (sometimes alongside contractors), and thrives in ambiguity.
  • Communication: a clear communicator who can be a credible technical face to lab and RLE researchers.
  • Nice to have: contributions to public benchmarks or eval frameworks; experience with post-training / fine-tuning data; simulation or frontend skills (MCP, Playwright) for world-building.
  • Education: Bachelor's or Master's in Computer Science, Machine Learning, or a related field - or equivalent practical experience.
  • Team Management: experience building and managing a team of engineers, a plus.

What we offer
  • Competitive compensation package consisting of a base salary and performance-based variable component.
  • Competitive equity package
  • Comprehensive health benefits, including medical, dental, and vision
  • Life insurance
  • Unlimited paid time off
  • Flexible hybrid work environment in New York City, Midtown (currently 2 days per week in office)
  • Two company-wide offsites each year
  • 401(k) with Traditional and Roth options, with immediate eligibility

SimpleClosure is an equal opportunity employer
We are committed to providing a work environment free of discrimination and harassment. All employment decisions at SimpleClosure - including recruiting, hiring, promotion, compensation, and termination - are based on qualifications, merit, and business need, without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We're committed to building a diverse and inclusive team, and we welcome applicants from all backgrounds. If you need a reasonable accommodation during the application or interview process, please let us know.
Application Process
Thanks for applying! If your experience is a strong match for what we're looking for, our hiring team will reach out to schedule an initial screening call and walk you through the rest of our interview process. We do our best to respond to every applicant, but given the volume of applications we receive, we may not be able to provide individual updates if we decide not to move forward.

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