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Ai Task Reviewer Jobs in Indiana (NOW HIRING)

Aircall

AI Productivity Engineer

Francisco, IN · Remote

... repetitive tasks, and embedding intelligence directly into everyday workflows. This is not a ... PR reviews, debugging) * Build contextual, system-aware AI assistants using internal data ...

Deloitte

AI Security Engineer Manager

Indianapolis, IN · On-site

Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Deloitte

Oracle Gen AI Manager

Indianapolis, IN

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Collaborate with stakeholders, mentor delivery teams, lead technical reviews, and support pilot ...

Pwc

ERP AI Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts ...

Crowe LLP

Financial Crime Review Analyst

South Bend, IN · On-site

$18.75 - $35.75/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Strong writing, analytical, and communication skills and the ability to multi-task and complete ...

Crowe LLP

Financial Crime Review Analyst

Fort Wayne, IN · On-site

$18.75 - $35.75/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Strong writing, analytical, and communication skills and the ability to multi-task and complete ...

Crowe LLP

Financial Crime Review Analyst

Indianapolis, IN · On-site

$18.75 - $35.75/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Strong writing, analytical, and communication skills and the ability to multi-task and complete ...

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Ai Task Reviewer information

How to become an AI reviewer?

To become an AI reviewer, candidates typically need strong language skills, attention to detail, and familiarity with AI and machine learning concepts. Relevant experience in content moderation, data annotation, or quality assurance can be beneficial, and some roles require knowledge of specific tools or platforms used for reviewing AI outputs. A background in computer science or related fields may also be advantageous.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI product executive. These roles often require advanced skills in data science, programming, and experience with AI tools and frameworks, and they may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and industry demand.

How can I make 2000 a week working from home?

As an AI Task Reviewer, earning $2000 a week from home typically requires working full-time hours, often involving reviewing and validating AI training data. Developing strong attention to detail, familiarity with AI tools, and consistent performance can help increase earnings, but reaching this income level may also involve taking on multiple projects or higher-paying tasks within the role.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. These roles often require attention to detail, basic computer skills, and sometimes specific training or guidelines, and they are commonly offered by reputable companies in the tech industry.

What is the difference between Ai Task Reviewer vs Data Annotator?

AspectAi Task ReviewerData Annotator
Required CredentialsBasic computer skills, training in review guidelinesBasic computer skills, training in annotation tools
Work EnvironmentRemote or office-based, reviewing AI outputsRemote or office-based, labeling and annotating data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentUnderstanding review roles in AI projectsUnderstanding data labeling roles in AI

The main difference between an Ai Task Reviewer and a Data Annotator lies in their roles within AI development. Ai Task Reviewers focus on evaluating and validating AI outputs, ensuring quality and accuracy, while Data Annotators are responsible for labeling and preparing data used to train AI models. Both roles are essential in the AI industry, often requiring similar skills but serving different functions in the data pipeline.

What are popular job titles related to Ai Task Reviewer jobs in Indiana? For Ai Task Reviewer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Task Reviewer jobs in Indiana look for? The top searched job categories for Ai Task Reviewer jobs in Indiana are:
What cities in Indiana are hiring for Ai Task Reviewer jobs? Cities in Indiana with the most Ai Task Reviewer job openings:
Ai Task Reviewer jobs near you
Infographic showing various Ai Task Reviewer job openings in Indiana as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.
AI Productivity Engineer

AI Productivity Engineer

Aircall

Francisco, IN • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

We are hiring a Software AI Engineer to join the Engineering Productivity (EngProd) team at Aircall.
 
Your mission is to accelerate AI adoption across the engineering organization by building AI-powered tools and systems that measurably improve how engineers work - reducing friction, automating repetitive tasks, and embedding intelligence directly into everyday workflows.
 
This is not a research role and not a customer-facing product AI role.
You will build practical, production-grade AI solutions that engineers use daily, and you will be accountable for their real-world adoption and impact.
 
This role is about using AI to make engineers more effective, not about chasing trends.
If you enjoy building real systems that people rely on every day - this role is for you.
What You'll Do
  • Take clear ownership of rapid AI adoption across the engineering organization
  • Identify high-friction areas in engineering workflows where AI can meaningfully improve productivity
  • Design and build practical, production-grade AI-powered developer tooling (coding, testing, PR reviews, debugging)
  • Build contextual, system-aware AI assistants using internal data, codebases, and tooling
  • Explore, prototype, and productionize AI-driven solutions with strong autonomy on how problems are solved
  • Automate and streamline workflows across GitLab, Jira, CI/CD, Slack, and observability tools
  • Design and operate internal AI services and orchestration layers (e.g. MCP servers)
  • Own solutions end-to-end: discovery design build measure iterate
  • Work hands-on with engineering teams to remove friction, enable usage, and move tools from delivery to daily practice
  • Measure success through adoption, impact, and tangible time saved for engineers
What You Won't Do
  • Build AI features for customer-facing products
  • Work on speculative AI research without clear outcomes
  • Act as a general internal support team
  • Own generic ML infrastructure unrelated to developer productivity
What We're Looking For - Required Experience
  • 5+ years of experience as a software engineer, with recent focus on GenAI systems
  • Strong experience building production-grade systems, not just prototypes
  • Hands-on experience with:
  • LLMs (OpenAI, Anthropic, etc.)
  • Prompting, retrieval, and context injection
  • AI-powered tooling or internal platforms
  • Solid backend engineering skills (APIs, services, integrations)
  • Experience working with developer tools (CI/CD, GitHub/GitLab, Jira, observability)
  • Strong product mindset and comfort operating in ambiguous problem spaces
Nice to Have
  • Particularly interesting profiles are engineers who have built developer tools and are now evolving toward AI-native system design.
  • Prior experience building developer tools, internal platforms, or DevEx tooling
  • Experience evolving traditional tooling into AI-assisted or AI-driven workflows
  • Familiarity with MCP, agent-based systems, or model orchestration concepts
  • Experience integrating AI with large codebases, monorepos, or complex CI/CD environments
  • Exposure to security, privacy, and trust considerations in internal AI systems
How You'll Be Successful
  • AI solutions you build are widely adopted and used regularly by engineers
  • Engineering productivity measurably improves, using:
  • existing metrics we already track (e.g. DevEx, CI, delivery, quality, flow), and/or
  • new, clearly defined metrics you help introduce to capture AI impact
  • Manual, repetitive workflows are reduced or eliminated, with clear before/after comparisons
  • Engineering time is visibly saved and reinvested into higher-value work
  • Improvements are demonstrated with data, not just qualitative feedback
  • Adoption grows organically because tools are useful, fast, and well-integrated into existing workflows
Team & Environment
  • You'll join the Engineering Productivity team
  • You'll work closely with engineers across the company
  • Strong collaboration with Infrastructure and Security teams
  • Product-oriented culture focused on outcomes, not hype
Location
  • United States (preferred: Seattle or San Francisco)
  • Open to strong US-based candidates in other locations
  • Collaboration with teams in Europe expected
$160,000 - $220,000 a year
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
Why join us?
 
Key moment to join Aircall in terms of growth and opportunities
Our people matter, work-life balance is important at Aircall
Fast-learning environment, entrepreneurial and strong team spirit
45+ Nationalities: cosmopolite & multi-cultural mindset
Competitive salary package & benefits
Medical, dental, and vision insurance is 100% covered
 401k plan with company matching!
 Unlimited PTO - take the time you need to come to work feeling great!
 Wellness, commuter, and childcare reimbursements
 Generous parental leave policy
 
DE&I Statement: 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. 
 
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  
 
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
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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