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Home Based Remote Algorithms Engineer Jobs in Gary, IN

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

AI Trainer - Remote

Chicago, IL · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

C++ Software Engineer

Chicago, IL · On-site +1

$175K - $300K/yr

... trading algorithms and strategies. Additionally, you will be responsible for creating and ... F with 10 remote days per year Base Salary Range $175,000 - $300,000 - Salaries are based on ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Remote Job Overview We are seeking experienced Senior Software Engineers with strong open-source ... Algorithms & Data Structures * Bug Fixing * Feature Implementation * Codebase Refactoring

New

Company Description Anomalix is a Chicago based cybersecurity solutions and services organization ... Remote - Work from home - 75% travel to client site Status: Contract; Contract-to-hire; Full time ...

Showing results 21-40

Home Based Remote Algorithms Engineer information

See Gary, IN salary details

$59.2K

$111.1K

$202K

How much do home based remote algorithms engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for home based remote algorithms engineer in Gary, IN is $111,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $131,800.00 per year, depending on experience, location, and employer.

What is a home based remote algorithms engineer?

Home Based Remote Algorithms Engineers are professionals who design, develop, and optimize algorithms while working remotely from their home or any other location outside a traditional office. Their work often involves solving complex computational problems, improving software efficiency, and applying mathematical models to real-world challenges. They may work in industries like technology, finance, healthcare, or artificial intelligence, collaborating with teams online and using various programming languages. This role requires strong analytical skills, proficiency in programming, and the ability to communicate technical concepts effectively in a remote environment.

What are the key skills and qualifications needed to thrive as a home based remote algorithms engineer?

To thrive as a Home Based Remote Algorithms Engineer, you need a deep understanding of mathematics, computer science fundamentals, and experience in algorithm design, often backed by a relevant degree. Proficiency with programming languages such as Python or C++, version control systems like Git, and familiarity with cloud-based collaboration tools are typically required. Strong problem-solving skills, self-motivation, and effective written communication are critical for remote teamwork and independent project delivery. These competencies ensure you can develop efficient algorithms, collaborate remotely, and meet project goals in a distributed work environment.

What are some common challenges faced by home based remote algorithms engineers, and how can they be effectively managed?

Home Based Remote Algorithms Engineers often face challenges such as limited real-time collaboration, managing complex projects independently, and maintaining clear communication with distributed teams. To overcome these obstacles, it is important to leverage collaboration tools (like Slack or GitHub), set regular check-ins with team members, and establish clear documentation practices. Proactively seeking feedback and participating in virtual code reviews also helps maintain alignment and ensures code quality while working remotely.

What is the difference between Home Based Remote Algorithms Engineer vs Data Scientist?

AspectHome Based Remote Algorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Math, or related field; experience with algorithms and programmingBachelor's or Master's in Data Science, Statistics, or related field; proficiency in analytics tools
Work EnvironmentRemote, project-based, focused on algorithm developmentRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, software development companiesTech, finance, healthcare, marketing

Home Based Remote Algorithms Engineers focus on designing and optimizing algorithms, often requiring programming and mathematical skills. Data Scientists analyze data to extract insights, using statistical and machine learning techniques. While both roles can be remote and require similar educational backgrounds, their core responsibilities differ: algorithms engineers develop solutions, whereas data scientists interpret data.

What job categories do people searching Home Based Remote Algorithms Engineer jobs in Gary, IN look for?

The top searched job categories for Home Based Remote Algorithms Engineer jobs in Gary, IN are:

Backend Developer - Remote

Chicago, IL • Remote

$80 - $120/hr

Full-time

Posted 19 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.