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Remote Formal Verification Jobs in Chicago, IL (NOW HIRING)

Mathematical Formalization Specialist

Chicago, IL · Remote

$17.50 - $21.75/hr

... formal verification can express, capture, and eventually automate Why Join Us * Work on cutting-edge AI research projects alongside leading labs pushing the limits of machine reasoning * Fully remote ...

Customer Success Manager

Chicago, IL · On-site +1

$165K - $180K/yr

Conduct formal Azul Business Reviews * Follow the Business Review format: Know the Customer ... For more information about E-Verify, please visit www.e-verify.gov. Employment at Azul is ...

Customer Success Manager

Chicago, IL · Remote

$115.50K - $126K/yr

Conduct formal Azul Business Reviews * Follow the Business Review format: Know the Customer ... For more information about E-Verify, please visit www.e-verify.gov. Employment at Azul is ...

App Store Product Manager

Chicago, IL · On-site +1

$80K - $130K/yr

No formal cover letter is needed but please include a few sentences describing why you are applying ... verified customer pain points. * Act as the primary point of contact for integration requests ...

Remote Formal Verification information

See Chicago, IL salary details

$12

$21

$41

How much do remote formal verification jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote formal verification in Chicago, IL is $21.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Formal Verification Engineer, and why are they important?

To thrive as a Remote Formal Verification Engineer, you need expertise in digital design, formal methods, and verification methodologies, usually supported by a degree in electrical engineering, computer engineering, or computer science. Familiarity with formal verification tools like JasperGold, Questa Formal, or OneSpin, and proficiency in hardware description languages (HDLs) such as Verilog or VHDL are critical. Strong analytical thinking, attention to detail, and clear communication are standout soft skills, especially when collaborating remotely with global teams. These skills and qualifications are essential to ensure that complex hardware designs are reliable, bug-free, and meet stringent industry standards.

What are some common challenges faced by remote formal verification engineers, and how can they be addressed?

Remote formal verification engineers often face challenges related to effective collaboration and communication, as formal verification requires close coordination with design and verification teams. Working across time zones and relying on digital tools can make it harder to quickly resolve ambiguities in specifications or debug issues. To address these challenges, it’s essential to establish clear documentation practices, schedule regular video meetings, and actively participate in code reviews and knowledge-sharing sessions. Leveraging collaborative platforms and maintaining open communication channels can help mitigate the impact of physical distance and ensure project goals are met efficiently.

What is remote formal verification?

Remote formal verification refers to the process of using mathematical techniques and specialized software tools to rigorously prove the correctness of hardware or software systems, typically while working from a remote location. Unlike traditional testing, formal verification provides guarantees about system behavior by checking against formal specifications. Professionals in this field often collaborate with teams online, review code or hardware designs, and use tools such as model checkers or theorem provers to identify and eliminate potential errors before deployment.

What is the difference between Remote Formal Verification vs Remote Hardware Verification?

AspectRemote Formal VerificationRemote Hardware Verification
CredentialsTypically requires degrees in Computer Science or Electrical Engineering, plus certifications in formal methodsRequires degrees in Electrical Engineering, Computer Engineering, or related fields; certifications may include FPGA or ASIC design
Work EnvironmentPrimarily focused on software tools, modeling, and mathematical proofs, often in a remote settingInvolves testing and validation of hardware prototypes or designs, often in labs or remotely via simulation tools
Industry UsageUsed in semiconductor, aerospace, and safety-critical software industriesCommon in semiconductor, electronics manufacturing, and embedded systems industries

Remote Formal Verification focuses on mathematically proving the correctness of hardware or software designs using formal methods, often in a software-centric environment. Remote Hardware Verification involves testing physical hardware or simulations to ensure hardware functions correctly. Both roles require technical expertise but differ in their focus on software proofs versus hardware testing.

What are the most commonly searched types of Formal Verification jobs in Chicago, IL? The most popular types of Formal Verification jobs in Chicago, IL are:
What job categories do people searching Remote Formal Verification jobs in Chicago, IL look for? The top searched job categories for Remote Formal Verification jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Formal Verification jobs? Cities near Chicago, IL with the most Remote Formal Verification job openings:
Infographic showing various Remote Formal Verification job openings in Chicago, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $44,348 per year, or $21.3 per hour.

Mathematical Formalization Specialist

Alignerr

Chicago, IL • Remote

$17.50 - $21.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Mathematical Formalization Specialist (Lean / Formal Proof Systems)
About the Role
What if your deep mathematical training could directly shape the future of AI reasoning? We're looking for mathematicians with hands-on experience in formal proof systems - particularly
Lean
- to work on some of the most intellectually demanding problems in AI development today.
This is a fully remote, flexible contract role working alongside leading AI research labs. You'll be translating rigorous human-written mathematics into machine-verifiable formal proofs, operating at the very edge of what proof assistants can currently express and automate.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : Flexible
  • What You'll Do
    • Translate informal mathematical proofs into
      Lean
      (and related proof systems) with precision, clarity, and structural rigor
    • Analyze domain-specific proofs to identify gaps, hidden assumptions, and formalizable sub-structures
    • Construct formalizations that probe the limits of existing proof assistants - especially where automation fails
    • Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines
    • Develop readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms
    • Provide expert guidance on proof decomposition, lemma selection, and formal modeling strategies
    • Investigate and articulate the reasons automated provers break down - whether due to complexity, missing lemmas, or library gaps
    • Who You Are
      Must-Have:
      • Master's degree or higher in
        Mathematics
        ,
        Logic
        ,
        Theoretical Computer Science
        , or a closely related field
      • Strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
      • Hands-on experience with
        Lean
        (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or a comparable formal proof system - Lean strongly preferred
      • Deep enthusiasm for
        formal verification
        , proof assistants, and the mechanization of mathematics
      • Ability to translate dense, informal arguments into clean, structured, machine-verifiable proofs
      • Nice to Have:
        • Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
        • Experience contributing to large-scale formalization projects such as
          mathlib
        • Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding
        • Strong communication skills for articulating formalization decisions, edge cases, and reasoning strategies
        • Sample Work You Might Do
          • Formalize classical proofs and compare machine-verifiable structures against textbook arguments
          • Investigate where automated provers break down and document the underlying causes
          • Create Lean proofs that surface deeper patterns or generalizations implicit in the original mathematics
          • Help map the frontier of what formal verification can express, capture, and eventually automate
          Why Join Us
          • Work on cutting-edge AI research projects alongside leading labs pushing the limits of machine reasoning
          • Fully remote and flexible - work on your own schedule, from anywhere
          • Freelance autonomy with the depth and challenge of genuinely frontier-level mathematical work
          • Contribute to a field that is reshaping the reliability and rigor of AI at its core
          • Potential for ongoing work and contract extension as new projects launch