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Surge Ai Jobs (NOW HIRING)

Pareto AI

Applied AI Engineer

$225K - $275K/yr

Experience at an AI data company (Scale AI, Surge, Snorkel, Labelbox, or similar) - particularly building synthetic data pipelines, eval environments, or task generation systems. This is the dream ...

Leidos

Jr AI Developer

Atlanta, GA · On-site

$64K - $83K/yr

Support incident surge operations when authorized by the Government. Maintain familiarity with the ... AI Use-Case Register and Configuration Settings Snapshot (if applicable) Basic Qualifications

AKIVA AI

Program Director

Tucson, AZ

$125K - $185K/yr

Tucson, Arizona Employment Type: Full-Time About AKIVA AKIVA is an AI-native engineering firm ... surge-capacity strategy, and continuity-of-operations posture Coordinate cooperative purchasing ...

Guidehouse

AI & Data Program Manager

Arlington, VA · On-site

Manage resources, staffing plans, and surge-up / surge-down activities. * Oversee delivery quality ... AI and advanced analytics program experience. * SAFe or additional Agile certifications. * Cloud ...

Guidehouse

AI & Data Program Manager

Mclean, VA

Manage resources, staffing plans, and surge-up / surge-down activities. * Oversee delivery quality ... AI and advanced analytics program experience. * SAFe or additional Agile certifications. * Cloud ...

Outlier

Math Expertise for AI Training

... of surge pricing. The top quartile of contributors boost their earnings by an average of 11 ... This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance ...

Empower AI

Customer Support Lead

Quantico, VA

Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with ... Coordinate service desk surge response under PWS Task 16; manage cross-tier escalation and resource ...

Guidehouse

AI & Data Program Manager

Arlington, VA

Manage resources, staffing plans, and surge-up / surge-down activities. * Oversee delivery quality ... AI and advanced analytics program experience. * SAFe or additional Agile certifications. * Cloud ...

Guidehouse

AI & Data Program Manager

Mclean, VA · On-site

Manage resources, staffing plans, and surge-up / surge-down activities. * Oversee delivery quality ... AI and advanced analytics program experience. * SAFe or additional Agile certifications. * Cloud ...

Guidehouse

AI & Data Program Manager

Mclean, VA · On-site

Manage resources, staffing plans, and surge-up / surge-down activities. * Oversee delivery quality ... AI and advanced analytics program experience. * SAFe or additional Agile certifications. * Cloud ...

Akiva AI LLC

Program Director

Tucson, AZ · On-site

$125K - $185K/yr

Tucson, Arizona Employment Type: Full-Time About AKIVA AKIVA is an AI-native engineering firm ... surge-capacity strategy, and continuity-of-operations posture • Coordinate cooperative purchasing ...

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How much do surge ai jobs pay per year?

As of Jun 16, 2026, the average yearly pay for surge ai in the United States is $94,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $104,000.00 per year, depending on experience, location, and employer.

What types of projects and clients do Surge AI team members typically work with, and how does this variety impact daily responsibilities?

Surge AI team members often collaborate on projects ranging from data labeling for AI models to developing advanced natural language processing solutions. Clients can vary from tech startups to large enterprises, leading to diverse project scopes and requirements. This variety means that daily responsibilities may shift frequently, requiring adaptability and strong communication to meet changing client needs. Team members regularly coordinate with engineers, project managers, and QA specialists to ensure high-quality deliverables and successful project outcomes.

What does the company Surge AI do?

Surge AI is a company that develops artificial intelligence and machine learning solutions, often focusing on data annotation, model training, and AI infrastructure. Employees in related roles may work with tools like data labeling platforms and programming languages such as Python to support AI development projects.

What is Surge AI and what does a role at Surge AI typically involve?

Surge AI is a technology company focused on providing high-quality data labeling and data curation services, often for artificial intelligence and machine learning projects. Working at Surge AI typically involves tasks such as annotating data, creating datasets, or managing the quality of labeled data to train AI models. Team members may also contribute to building better processes for data labeling and ensuring that data meets specific project requirements. Roles can range from data annotators and project managers to software engineers and AI researchers, depending on the company's needs.

Is Surge AI a good company to work for?

Surge AI is a technology company that offers roles related to artificial intelligence and data annotation. Employee reviews indicate a focus on collaborative work environments and skill development, though experiences can vary. Prospective applicants should research current employee feedback and company culture for a comprehensive view.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning algorithms. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or GCP is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and translate complex data into actionable insights. These skills ensure the successful development, deployment, and maintenance of AI models that drive business value.

How much do Surge AI jobs pay?

Salaries for Surge AI jobs vary depending on the role, experience, and location, but entry-level positions typically start around $50,000 to $70,000 annually. More experienced roles or specialized positions can pay upwards of $100,000 or more, especially for roles involving AI development, data analysis, or project management.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as Surge Ai roles in data analysis, AI system development, and cybersecurity, are likely to persist. These roles demand specialized skills, adaptability, and ethical judgment that AI cannot fully replicate. Continuous learning and technical proficiency will enhance job security in these fields.
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Surge Ai jobs near you

Software Engineer (Full‑Stack / Infrastructure) -- Frontier AI Evaluation

Emeraldadvantageconcepts

San Francisco, CA • On-site, Remote

$203K - $241K/yr

Full-time

Posted 7 days ago

Job description

About the Team

We build the data, evaluation, and experimentation infrastructure powering next‑generation agentic AI systems. Our work directly supports all five leading AI labs and focuses on the hardest problems in LLM reasoning, RL environments, and human‑in‑the‑loop workflows.

We're a fast‑moving, talent‑dense team with backgrounds in quant finance, top‑tier startups, and elite engineering orgs. Revenue is already in the 8‑figure range with a steep growth curve and a major Series A on the way.

The Role

This is a broad, high‑ownership engineering role — not a narrow feature lane.

You'll work across research, infra, product, and data, owning systems end‑to‑end. Expect to touch everything from RL environments to distributed infra to full‑stack dashboards.

A typical month might include:

  • Prototyping a new RL environment from a research paper
  • Deploying distributed experiments on Kubernetes
  • Improving reliability of Next.js dashboards
  • Building a Kafka pipeline for annotator analytics

You'll shape core systems used by frontier AI labs from day one.

What You'll Do
  • Build scalable systems: RL environments, APIs, human‑in‑the‑loop platforms
  • Collaborate with research, product, and design to ship quickly
  • Write clean, maintainable code with strong documentation
  • Participate in architecture discussions and code reviews
  • Solve real‑world scalability and reliability challenges
  • Contribute to the infrastructure powering frontier AI evaluation

Who We're Looking For

We're looking for early‑career engineers who have already shown they can thrive in fast‑moving, high‑ownership environments and want to work on some of the most challenging problems in AI.

Experience
  • 1–3 years as a full‑stack software engineer
  • Background at a high‑growth startup, top quantitative trading firm, or experience as a founding engineer at a company with meaningful early traction
  • If your experience is primarily big tech, we look for a strong CS foundation (e.g., top‑tier CS programs such as Berkeley, CMU, MIT, Stanford)
Bonus Experience
  • Time spent at companies focused on human‑in‑the‑loop AI, data labeling, or AI evaluation (e.g., Surge AI, Snorkel, Scale, Labelbox, Micro1, Mercor)
  • Exposure to fast‑paced environments where you shipped features end‑to‑end and owned outcomes
What Matters Most
  • You've built real systems — not just maintained them
  • You take ownership, move quickly, and enjoy solving hard technical problems
  • You're comfortable working directly with researchers, product teams, and customers
  • You thrive in environments where the roadmap changes based on what you learn
Technical Skills
  • Full‑stack: Next.js / React, Node.js / Python
  • Infra: Kubernetes, Kafka, Redis, Elasticsearch
  • Ability to build end‑to‑end systems with high ownership
Soft Skills
  • Strong ownership and bias toward shipping
  • Comfortable being client‑facing with AI lab researchers
  • Thrives in fast‑paced, high‑iteration environments
    Work Environment

    5 days/week onsite in Financial District
    Flexible hours
    Optional half‑day or remote on Sundays
    Tight‑knit, high‑trust, high‑velocity team

    Why Join
    • Work directly with frontier AI labs
    • Solve the hardest problems in AI evaluation
    • Massive ownership and impact from day one
    • Build at a scale most AI startups never reach
    • Join a team of elite engineers and operators
    .