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Ai Task Jobs in New York (NOW HIRING)

And you don't need every task to be an AI task: you take the highest-priority problem, model or not. * Voracious learner. You move easily between API design, UX, and deployment infrastructure.

Develop evaluation frameworks, rubrics, and grading criteria for contract-related AI tasks. * Identify contractual risks, inconsistencies, and areas requiring revision. * Collaborate with product and ...

AI Product Engineer

New York, NY · On-site

$175K - $300K/yr

As an AI Product Engineer at August, you will design and scale production-grade agents that perform legal tasks with expert-level reasoning. You'll work closely with the founders, legal experts, and ...

AI Engineer - Remote

New York, NY · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

AI Trainer - Remote

New York, NY · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Senior Solutions Engineer (Pre-Sales)

New York, NY · On-site

$60.50 - $78/hr

What we are building Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and ...

We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up ... AI first: We use AI across the entire company - from product to growth to operations - to move ...

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

AI/ML Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Senior Engineer, AI Engineering

Manhattan, NY · On-site

$115K - $158K/yr

Responsibilities : • Design, build, and maintain AI agent-based systems that perform multi-step tasks using defined goals, tools, and decision logic • Design, build, and maintain full-stack web ...

Software Engineer - AI/ML

New York, NY · On-site

$125K - $150K/yr

You will work on the systems that enable AI agents to understand complex workflows, reason over enterprise data, interact with tools, and complete business-critical tasks reliably. This role is ideal ...

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Showing results 1-20

Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

What cities in New York are hiring for Ai Task jobs?

Cities in New York with the most Ai Task job openings:

Infographic showing various Ai Task job openings in New York as of September 2026, with employment types broken down into 33% Internship, 50% Full Time, and 17% Temporary. Highlights an 67% In-person, and 33% Remote job distribution.

Solutions Architect

New York, NY • On-site

Success Academy Charter Schools
Elementary and Secondary Schools • 1 - 5K employees

$69 - $90.75/hr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Success Academy rating

5.1

Company rating: 5.1 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

This role is the technical backbone of the district's digital ecosystem. You will serve as the Primary Administrator for our core platforms, ensuring the Student Information System (SIS) and Learning Management System (LMS) are optimized, integrated, and resilient. Beyond daily maintenance, you will architect the automated data pipelines that drive student rostering and leverage AI Task Automation to modernize administrative workflows and enhance data accuracy.

Key Responsibilities

1. System Administration (SIS & LMS)

  • Primary Platform Management: Act as the lead administrator for the district's SIS and LMS (e.g., Canvas). Manage user roles, permissions, term rollovers, and core system configurations.

  • Consult on Business Processes: Provide technical leadership for master schedule builds and gradebook configurations, ensuring that data logic in the SIS translates perfectly to the teacher's view in the LMS.

  • Tier 3 Technical Support: Serve as the final escalation point for complex technical issues, data discrepancies, or platform outages affecting school-based staff and students.

  • Compliance & Reporting: Ensure the SIS is configured to meet all state and federal reporting requirements, maintaining high data integrity for attendance, enrollment, and academic records.

  • System Health & Platform Monitoring: Ensure all educational platforms have proper outage, degradation, and system health monitoring alerts in place for service teams.

2. Automated Registration, Enrollment, Rostering & Interoperability

  • Roster Pipeline Management: Design and maintain the "Source of Truth" sync between the SIS and LMS. Ensure that student enrollments are processed in real-time so that learners have immediate access to digital resources.

  • Standardized Integration: Implement and manage data standards like OneRoster API, LTI 1.3, and Ed-Fi integrations to eliminate manual data entry and ensure seamless "Grade Passback" between apps.

  • Middleware Oversight: Provide direction for the teams managing the district's integration hubs (e.g., Clever, ClassLink) to automate the provisioning of accounts across the entire EdTech software catalog.

3. AI Task Automation & Intelligence

  • Workflow Automation: Implement AI-driven scripts and workflows in collaboration with service managers to automate repetitive administrative tasks, such as data cleaning, help-desk ticket triaging, and automated user-account lifecycle management.

  • Intelligent Data Auditing: Deploy AI "watchdog" tools to proactively identify and flag data anomalies (e.g., missing state-reporting fields, scheduling conflicts, or enrollment errors) before they impact district operations.

  • Predictive Infrastructure: Develop the data pipelines required for AI models to analyze SIS/LMS data, providing school leaders with "early warning" insights into student performance and attendance trends.

  • AI Governance: Ensure all automated tasks and AI integrations adhere to strict FERPA guidelines and AI usage policies.

4. Solutions Architecture & Governance

  • Ecosystem Design: Design the long-term roadmap for how new technologies will plug into the existing SIS/LMS core without creating data silos.

  • Vendor Management: Evaluate third-party tools for architectural compatibility, ensuring they meet the district's standards for interoperability and automated rostering.

Technical Qualifications

  • SIS/LMS Expertise: Administration of K-12 platforms (e.g., Google Classroom, eSD or other SISs, Canvas).

  • Rostering Standards: 1EdTech OneRoster, LTI, and SFTP/API automation.

  • Automation Tools: Proficiency in Python, SQL, or PowerShell; experience with AI APIs (OpenAI, Azure AI) or RPA tools.

  • Identity Management: Experience interacting with IDM tools such as Clever, ClassLink, or Google Workspace/AD integrations.

  • Data Privacy: Understanding of FERPA-protected data usage and scholar data privacy.

Experience & Education

  • Experience: 6+ years in EdTech, with 3+ years specifically in a Lead Administrator role for enterprise SIS/LMS platforms. Proven experience in automating data workflows is required.

  • Education: Bachelor's degree in Information Systems, Computer Science, Educational Technology, or related experience in the education technology field.

  • Preferred Certifications: Platform-specific Admin Certifications (e.g., Canvas Certified Admin); Certifications in AI Automation or Data Engineering.

The ideal candidate will showcase:

  • Critical Thinking. You get to the bottom of problems quickly and rigorously. You don't accept the first explanation, you interrogate assumptions, and you can distinguish between what's true and what's merely plausible.

  • Communication. You write with clarity and economy, and you're effective in person. You know that real communication means understanding your audience's perspective well enough to actually move them - not just transmit information at them.

  • Entrepreneurial Drive. You take full ownership of your outcomes. You are assertive about removing obstacles, you don't wait to be told what to do next, and you measure yourself by results rather than effort.

  • Resilience. You receive feedback and use it as fuel rather than a reason to disengage. You hold yourself to a high standard, and when someone raises the bar, your instinct is to rise to it.

  • Curiosity. You want to understand how things actually work - from the systems you're building to the teachers and scholars at the end of the chain. You trace your work through to its real-world impact and care about the details and edge cases you find along the way.

The Impact of the Role

By combining rigorous system administration with forward-thinking AI automation, you ensure that the district's technology is a silent, efficient partner in the classroom. Your work eliminates the "administrative friction" for teachers and ensures that every student's digital journey is smooth, secure, and data-informed.


What Success Academy employees say

Pay

Benefits

Hours and flexibility

Workplace

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