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Remote Data Labelling Jobs in Queens, NY (NOW HIRING)

Gauntlet

Technical Recruiter

New York, NY · On-site +1

We're a Series B company with around 75 employees, operating remote-first with a home base in New ... The label equals the package equals the contents. No surprises, just predictable, reliable vaults.

Princeton10

Account Supervisor

New York, NY · Remote

$100K - $120K/yr

This role is open to fully remote candidates in the United States located in NY, NJ or PA. Travel ... Experience with new product launches and label updates is a plus. * Proven track record of building ...

CP Unlimited

IAM & IT Operations Analyst

Manhattan, NY · Remote

... labels, data loss prevention, information protection, and compliance-related controls. * Support ... remote actions, and device retirement. * Support endpoint security and operational standards ...

Equativ

Key Account Manager

New York, NY · On-site +1

$70K - $100K/yr

Role is 50% remote and candidate must be able to work in NYC Office. Day to Day: * Manage a ... Analytically focused and ability to make key decisions based on data. * Love to develop and foster ...

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All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Queens, NY

Remote Data Labelling information

See Queens, NY salary details

$48K

$172.2K

$254.1K

How much do remote data labelling jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data labelling in Queens, NY is $172,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

What are some common challenges faced by remote data labelling professionals, and how can they be managed?

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What job categories do people searching Remote Data Labelling jobs in Queens, NY look for? The top searched job categories for Remote Data Labelling jobs in Queens, NY are:
What cities near Queens, NY are hiring for Remote Data Labelling jobs? Cities near Queens, NY with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Queens, NY as of July 2026, with employment types broken down into 71% Full Time, 20% Part Time, 2% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $172,191 per year, or $82.8 per hour.

Technical Recruiter

Gauntlet

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 days ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research.
As of November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults.
Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader's discipline and a risk manager's skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults.
We're seeking a Technical Recruiter who can identify, attract, and close top-tier engineering talent in crypto. We want to hire more talent into a company where rigor, depth, and ownership matter. You'll operate as a strategic partner to help scale the teams that shape the economic backbone of major crypto networks. Success in this role requires strong technical fluency, a deep understanding of crypto culture, and the ability to engage with candidates who value complex, intellectually demanding work.
Responsibilities
  • Own sourcing, outreach, screening, interviews, and closing for technical roles (e.g., quantitative developers, protocol researchers, full-stack developers, among other teams
  • Build and maintain diverse, high-quality pipelines across multiple functions
  • Drive an exceptional candidate experience from first touch to offer acceptance
  • Leverage on-chain reputation tools, GitHub activity, DAO contributions, Crypto Twitter/Farcaster/Discord communities, open source communities, hackathons, L2 ecosystems and crypto-specific hiring channels
  • Work directly with engineering leadership & hiring managers to gain a deep understanding of their hiring needs
  • Advise hiring teams on best practices for conducting interviews and making informed, data-driven decisionsMaintain structured hiring pipelines, interview scorecards, and ATS hygeine
  • Implement structured evaluation frameworks that align with Gauntlet's standards
  • Proactively suggest improvements to hiring processes, outreach copy, interview structure, and branding across technical roles

Qualifications
  • 5+ years of experience recruiting for technical roles, ideally in crypto, protocol development, or deep-tech environments
  • A demonstrated ability to hire senior engineers, quant researchers, or other highly specialized profilesAn understanding of core crypto concepts, especially those in DeFi
  • Strong communication skills and the ability to articulate technical products and value propositions to candidates
  • The ability to operate autonomously, prioritize effectively, and build relationships with a wide range of stakeholders

Bonus Points
  • An established presence or network within crypto communities-Twitter, GitHub, research DAOs, Discord engineering groups
  • Experience hiring in high-growth or remote-first environments
  • An understanding of TradFi & web2 hiring needs that translate to Web3: economic modeling, incentive optimization, quantitative funds or protocol research workflows to give some examples
  • Global talent acquisition experience across engineering and research domains in multiple time zones

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees and dependents
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation
  • 100% paid parental leave of 12 weeks
  • Fertility benefits
  • Opportunity for incentive compensation

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.
The national pay range for this role is $135,000 - $155,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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