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ai engineer – remote | $40 –$50/hr Jobs in New York

ai engineer – remote | $40 –$50/hr

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ai solutions engineer - hybrid Jobs in New York

ai solutions engineer - hybrid

ai engineer remote 40 50 hr

Call For Referral

<div>
 
 
 About The Role
 
 
 
 This role focuses on building and deploying applications within advanced AI training environments. Work involves integrating real-world software into sandbox systems, ensuring stability, scalability, and production readiness across use cases.
 
 
 
 Position:
 
 Software Engineer
 
 
 
 Type:
 
 Hourly Contract
 
 
 
 Compensation:
 
 $40&ndash;$50/hour
 
 
 
 Location:
 
 Remote Global | Part-time
 
 
 
 Role Responsibilities
 
 
 <ul>
 <li>
 Build MCP servers in Python using FastMCP
 </li>
 <li>
 Integrate web or desktop applications into AI training environments
 </li>
 <li>
 Work with APIs, Docker, Linux systems, and service configurations
 </li>
 <li>
 Implement populate and snapshot hooks for application state management
 </li>
 <li>
 Test applications locally and debug build, runtime, and permission issues
 </li>
 <li>
 Ensure applications meet validation and deployment standards
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Must-Have:
 
 
 <ul>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Experience with APIs, backend systems, and debugging
 </li>
 <li>
 Familiarity with Docker, Linux, and local development workflows
 </li>
 <li>
 Ability to work with configuration files and deployment pipelines
 </li>
 <li>
 Strong problem-solving skills and attention to technical detail
 </li>
 </ul>
 
 
 Nice-to-Have
 
 
 <ul>
 <li>
 Experience with FastMCP or similar frameworks
 </li>
 <li>
 Experience integrating third-party applications or developer tools
 </li>
 <li>
 Familiarity with web applications, databases, and containerized environments
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview: A short, 15-minute conversational session to assess background and experience
 </li>
 <li>
 Follow-up communication with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

AI Engineer – Remote | $40 –$50/hr

Alignerr

<div>
 
 About The Role
 
 
 
 What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
 
 
 This is a fully remote contract role working on real production systems &mdash; not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 20&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
 </li>
 <li>
 Develop full-stack tooling and backend services for data annotation, validation, and quality control
 </li>
 <li>
 Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
 </li>
 <li>
 Collaborate directly with data, research, and engineering teams to support model training and benchmarking
 </li>
 <li>
 Participate in synchronous design reviews to iterate on architecture and implementation decisions
 </li>
 <li>
 Improve performance, safety, and scalability across existing infrastructure
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Native or fluent English speaker with clear written and verbal communication skills
 </li>
 <li>
 5+ years of professional experience writing production-grade Python for data engineering
 </li>
 <li>
 Strong full-stack developer background with solid systems programming fundamentals
 </li>
 <li>
 Proficient with workflow orchestration tools for managing complex dependency graphs
 </li>
 <li>
 Experienced with dataframe processing libraries and cloud data warehouse SDKs
 </li>
 <li>
 Able to commit reliably to 20&ndash;40 hours per week
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience with data annotation, data quality pipelines, or evaluation systems
 </li>
 <li>
 Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
 </li>
 <li>
 Experience with distributed systems or developer tooling
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
 </li>
 <li>
 Fully remote and flexible &mdash; work from wherever you do your best thinking
 </li>
 <li>
 Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
 </li>
 <li>
 Make a direct, tangible impact on the systems that shape how AI models learn and improve
 </li>
 <li>
 Potential for extended engagement and expanded scope as projects evolve
 </li>
 </ul>
</div>

Data Platform Engineer (Python)

<div>
 
 AI Writing Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 What if your writing skills could directly shape how AI communicates with millions of people? We're looking for talented English writers to evaluate and improve AI-generated content &mdash; helping ensure it's clear, compelling, and genuinely well-written.
 
 
 This is a fully remote, flexible contract role. No AI background needed &mdash; just a strong command of English and a sharp editorial eye.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract ($20&ndash;$40/hr)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: Flexible, asynchronous &mdash; work on your own schedule
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review AI-generated written content across a variety of genres, formats, and topics for clarity, structure, and effectiveness
 </li>
 <li>
 Provide detailed, constructive feedback on tone, argumentation, audience engagement, and overall writing quality
 </li>
 <li>
 Help AI reason through complex writing challenges including persuasive writing, technical documentation, creative content, and academic prose
 </li>
 <li>
 Identify biases, inaccuracies, awkward phrasing, or unclear passages in AI outputs
 </li>
 <li>
 Develop targeted tests and prompts to stress-test AI writing capabilities and expose weaknesses
 </li>
 <li>
 Work independently and asynchronously, completing task-based assignments at your own pace
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Strong command of English grammar, style, tone, and structure
 </li>
 <li>
 Experience in professional, academic, creative, or technical writing or editing
 </li>
 <li>
 Ability to evaluate written content critically and provide clear, actionable feedback
 </li>
 <li>
 Comfortable working across diverse subjects and formats
 </li>
 <li>
 Keen eye for accuracy, coherence, and effective communication
 </li>
 <li>
 Reliable, self-motivated, and detail-oriented
 </li>
 <li>
 Bachelor's degree enrolled or completed preferred
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with data labeling, RLHF, or AI training workflows
 </li>
 <li>
 Background in editing, journalism, content strategy, or copywriting
 </li>
 <li>
 Familiarity with evaluating AI-generated content
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 High impact &mdash; your feedback directly improves AI models used by leading research labs and Fortune 500 companies
 </li>
 <li>
 Fully remote and flexible &mdash; work from anywhere, completely on your own schedule
 </li>
 <li>
 Meaningful work &mdash; contribute to safer, smarter, and more articulate AI systems
 </li>
 <li>
 Autonomy &mdash; clear task guidelines with the freedom to apply your own expertise
 </li>
 <li>
 Growth potential &mdash; strong performers gain access to new programs and expanded opportunities
 </li>
 <li>
 Cutting-edge exposure &mdash; work alongside advanced AI systems at the frontier of language technology
 </li>
 </ul>
</div>

AI Writing Analyst

Stott and May

<div>
 
 
 Data Scientist / Data Engineer (Ecommerce) Contract Opportunity
 
 
 
 
 
 
 
 Work:
 
 
 
 We&rsquo;re supporting an ecommerce client looking for a hybrid
 
 Data Scientist / Data Engineer
 
 contractor to help scale data products and drive insights across customer, product, and digital performance data.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data pipelines supporting analytics and machine learning use cases
 </li>
 <li>
 Develop models and analyses around customer behavior, recommendations, forecasting, and conversion optimization
 </li>
 <li>
 Work with large-scale ecommerce data (clickstream, transactions, inventory, marketing)
 </li>
 <li>
 Design and optimize datasets for reporting, experimentation, and predictive modeling
 </li>
 <li>
 Partner with analytics, product, and engineering teams to productionize solutions
 </li>
 <li>
 Support data quality, performance tuning, and scalable data architecture
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong Python and SQL skills
 </li>
 <li>
 Experience in both data engineering and data science / ML workflows
 </li>
 <li>
 Background building pipelines with tools like Airflow, Spark, dbt, or similar
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure
 </li>
 <li>
 Exposure to recommendation systems, forecasting, customer analytics, or experimentation (A/B testing) preferred
 </li>
 <li>
 Ecommerce, retail, or marketplace data experience strongly preferred
 </li>
 </ul>
 
 
 Details:
 
 
 <ul>
 <li>
 Fully remote
 </li>
 <li>
 40 hours/week (full-time
 
 contract
 
 )
 </li>
 <li>
 Initial 6-month
 
 contract
 
 with likely extension
 </li>
 <li>
 W2 or personal LLC only (
 
 no C2C
 
 )
 </li>
 <li>
 Rates competitive and dependent on experience (target $80&ndash;$110/hr)
 </li>
 </ul>
 
 
</div>

Data Scientist

NTT DATA

Req ID: 370261
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a AI Solutions Engineer - HYBRID to join our team in New York, New York (US-NY), United States (US).
 
Improve the end-to-end developer experience of AI development tools. Identify friction points, drive workflow improvements, and raise adoption by making AI tooling faster, clearer, and more reliable for developers in their daily work.
 
Day to Day Responsibilities: 
<ul>
<li>Partner with developers across teams to identify friction points with current AI tools and workflows.</li>
<li>Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows).</li>
<li>Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist.</li>
<li>Instrument usage and feedback to quantify impact of improvements.</li>
<li>Produce guidance, examples, and enablement content to help teams adopt improved patterns.</li>
<li>Contribute to knowledge transfer and handover to steady-state teams.</li>
</ul>
Minimum Skills: 
<ul>
<li>4+ years experience, including recent hands-on use of AI-assisted development tools.</li>
<li>4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows).</li>
<li>4 Years of coding in Python and/or TypeScript; comfortable touching shared code and context repositories.</li>
</ul>
•
 
Preferred Skills: 
<ul>
<li>Background in DevEx, platform engineering, or internal developer platforms.</li>
<li>Experience authoring or improving LLM prompts, skills, or plugins in production.</li>
<li>Familiarity with developer telemetry / observability (usage analytics, A/B testing of dev tools).</li>
<li>Financial services experience.</li>
</ul>
User-centric mindset with experience gathering developer feedback and measuring adoption.
 <ul>
<li>Excellent written and verbal communication.</li>
<li>On-site at Alpharetta, GA or New York City, NY</li>
</ul>
Education
 Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience).
 
#LI-NorthAmerica
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,904 - $218,550. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
 
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

AI Solutions Engineer - HYBRID

Mercor

<div>
 
 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:
 
 Medical and Health Services Managers
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $80&ndash;$110/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Duration:
 
 
 3&ndash;4 weeks
 
 
 
 
 Commitment:
 
 
 30&ndash;40 hours/week
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Create deliverables addressing common requests in the medical and health services domain.
 </li>
 <li>
 Review peer-developed deliverables to enhance AI research.
 </li>
 <li>
 Diagnose and solve real issues using domain expertise in medical and health services.
 </li>
 <li>
 Work independently and asynchronously to meet deadlines and improve AI model performance.
 </li>
 <li>
 Contribute to cutting-edge AI research while maintaining a flexible schedule.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 4+ years professional experience in medical and health services.
 </li>
 <li>
 Excellent written communication with strong grammar and spelling skills.
 
 
 
 </li>
 </ul>
 
 Start Date
 
 
 
 <ul>
 <li>
 Immediately
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
 
 
 #hiringmercor
</div>

Healthcare Administrator - AI Trainer

Kaizen

<div>
 
 Who Are We?
 
 
 
 Government technology has failed the public for decades, and Americans have been conditioned to expect websites from the 90s for essential public services.
 
 
 Kaizen exists to strengthen trust in American public services by building technology that residents and public servants are proud to use. We partner with local, state, and federal agencies to replace legacy systems with modern, AI-native software that is worthy of the people they serve. We started in outdoor recreation, and now we're building toward something much larger &mdash; the software layer that powers how Americans access any government service.
 
 
 Our platform already reaches 40 million residents across 50+ agencies in 17 states.
 
 
 Founded in 2022 and based in New York City, Kaizen has raised $35 million from NEA, a16z, Accel, 776, and Carpenter Capital. We're builders, designers, and operators who believe that beautifully designed software shouldn&rsquo;t be a luxury in government. It&rsquo;s how you earn trust back.
 
 
 
 The Data Intelligence Team
 
 
 
 The DI team exists to make Kaizen faster, smarter, and more effective at every level. The team runs four pillars:
 
 
 <ul>
 <li>
 External Analytics: Best-in-class reporting for customers inside Kaizen's platform
 </li>
 <li>
 Automation: Finding repetitive workflows across the org and building tools to eliminate them
 </li>
 <li>
 AI Enablement: Making sure every person at Kaizen knows how to use AI effectively
 </li>
 <li>
 Internal Analytics: Trusted dashboards and data models that give every level of the org what they need to make faster decisions
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 We&rsquo;re looking for a Data Engineer who can operate across the full spectrum of modern data work. This is not a narrow role. You will build and maintain the data models that power our internal and customer-facing reporting, design and ship automations that eliminate repetitive manual work, develop AI-powered tools that make teams faster and smarter, and build the internal tools that keep the whole operation running. One week you might be writing dbt models and tuning a Snowflake pipeline. The next you are building an internal application that transforms how a team operates, or standing up an AI workflow that cuts hours of manual work down to minutes.
 
 
 We are looking for someone who brings both technical depth and business instinct. You will work directly with team leads across the company, translate their problems into solutions, and own those solutions from concept to production. If you are energized by variety, thrive without a lot of hand-holding, and want your work to have a direct and visible impact on a growing company, this is the role.
 
 
 
 Who You Are
 
 
 
 You are a versatile data and analytics professional who thrives in ambiguity. You do not wait to be told what to build - you find the problem, propose the solution, and ship it. You are equally comfortable writing a dbt model, standing up an N8N automation, and pulling an ad hoc analysis for a leadership meeting. You care about doing clean work, and you understand that in a small team, your output is highly visible.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Build and maintain dbt models that power internal dashboards and external customer reporting
 </li>
 <li>
 Develop and maintain automation workflows in N8N and similar tools, eliminating repetitive manual work across the org
 </li>
 <li>
 Support the build-out of external analytics inside Kaizen's platform, ensuring customers have clear, actionable data at their fingertips
 </li>
 <li>
 Contribute to internal dashboards and analyses that keep leadership and team leads informed
 </li>
 <li>
 Partner with the team lead to identify and prioritize new automation and analytics opportunities across the organization
 </li>
 <li>
 Help shape the analytics layer of Kaizen's platform as the product scales
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3-5 years of experience in a data, analytics, or engineering role (slope matters more than seniority)
 </li>
 <li>
 Strong SQL skills: you can write complex queries and think in data models
 </li>
 <li>
 Hands-on experience with dbt (or a strong willingness to ramp quickly)
 </li>
 <li>
 Experience building workflows and automations in tools like N8N, Zapier, or similar tools
 </li>
 <li>
 Comfort working across a modern data stack (Snowflake or similar)
 </li>
 <li>
 Understanding a second programming language is a strong plus (Python, JavaScript, etc.)
 </li>
 <li>
 Genuine fluency with AI tools: not just using them, but building with them
 </li>
 <li>
 Low ego, high output: you are a builder who gets things done without a lot of hand-holding
 </li>
 <li>
 Experience in a fast-paced startup environment
 </li>
 <li>
 Genuine curiosity about AI and how it can be applied to real workflows
 
 
 </li>
 </ul>
 
 What Kaizen Offers
 
 
 
 <ul>
 <li>
 Comprehensive medical through Oxford/United, including Gold and Platinum PPO plans, with 85% of premiums covered on the Platinum plan and a $0 employee premium option
 </li>
 <li>
 Dental through Guardian PPO and vision through Beam, with 99% of employee premiums covered and 50% for dependents
 </li>
 <li>
 $100,000 in fully paid life insurance. FSA and Dependent Care FSA. 401(k) access through Guideline
 </li>
 <li>
 16 weeks of fully paid parental leave for birthing parents. 10 weeks fully paid for non-birthing parents
 </li>
 <li>
 Unlimited PTO and closed for all federal holidays
 </li>
 <li>
 Company-wide winter break the week of Christmas
 </li>
 <li>
 One-time home office or desk setup stipend up to $750
 </li>
 <li>
 $50/month commuter benefit
 </li>
 <li>
 $100/month for wellness or productivity; your call on how you use it
 </li>
 <li>
 $500/year for professional development
 </li>
 <li>
 $250/year for recreation
 </li>
 <li>
 Company-provided laptop
 </li>
 <li>
 Expensed lunch while in the office
 
 
 </li>
 </ul>
 
 Kaizen is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. If you need an accommodation during the interview process, email us at
 
 
 careers@kaizenlabs.co
 
 
 .
 
 
 
 Why Now
 
 
 The government technology modernization wave is happening. Agencies are being pushed to change, and they need partners who can move fast and build well.
 
 
 We have the contracts. We have the agency relationships. We have the platform. We need the engineers.
 
 
 If you want to spend the next few years shipping software that actually matters &mdash; not another B2B SaaS dashboard, not an internal tool nobody uses &mdash; and you want to do it at a company moving aggressively into one of the most consequential markets in tech, this is the role.
 
 
 
 Don't Apply If...
 
 
 
 You need a detailed ticket to know what to build next. You think AI tools are a crutch. You want to own one layer of the stack and never leave it. You're more comfortable in a 500-person organization than a small team where everyone's accountable. You need the problem fully defined before you start moving. Or if you're looking for low-stakes work &mdash; because what we build touches real people in real moments that matter: accessing benefits, families navigating public services, constituents interacting with their government at its most critical touchpoints. This work is serious. The people we serve deserve serious teams.
</div>

Data Engineer

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