Algorithms and Theory Researcher (Research Coding Tasks)

OpenTrain AI, Inc.; United States; Remote; USD 57,000 - 81,000; Full time

Job summary

OpenTrain AI, Inc. seeks an Algorithms and Theory Researcher for research coding tasks. You will build self-contained algorithmic tasks, develop reference implementations, and review AI model outputs for correctness and rigor, all within an asynchronous remote contract framework.

The role covers graph, approximation, streaming, and online algorithms, with tasks taking about four hours and paying per task. A completed or in-progress PhD and published algorithms research are required.

Qualifications

• PhD in computer science or related field, completed or in-progress.
• Published algorithms research in reputable venues.
• Proven ability to assess algorithmic reasoning and implementation quality.
• Experience releasing research code publicly (e.g., GitHub).

Responsibilities

• Create self-contained algorithmic tasks with reference implementations.
• Review AI model outputs for correctness and rigor.
• Collaborate asynchronously with project lead to scope tasks.
• Ensure tasks fit around ongoing research.

Skills

Algorithms research

Code review

Asynchronous collaboration

Education

PhD in Computer Science (in-progress or completed)

Tools

GitHub

Docker

Job description

Algorithms and Theory Researcher (Research Coding Tasks)

Build self-contained algorithms and theory coding tasks, create reference implementations, and review AI model outputs in asynchronous remote contract work. Each task takes about four hours and pays $200 per approved task; a completed or in-progress PhD and published algorithms research are required.

$200 per task

Compensation: $200 per approved task. Contract: Remote, asynchronous contract work. Location: Open to candidates in the countries specified for this role.

Open in 95 countries

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d’Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will create self-contained technical tasks in algorithms and theory to help evaluate AI models. You will also develop or use reference implementations, which show a correct and usable solution, and review model outputs for correctness, rigor, and research quality.

The work covers areas such as graph, approximation, streaming, and online algorithms. You will work asynchronously with a project lead to clarify task scope, maintain a high technical standard, and provide precise feedback that connects theory with working code.

• Build research coding tasks based on your algorithms research area.
• Develop or work with reference implementations for algorithms problems.
• Review AI model outputs for algorithmic reasoning, correctness, and implementation quality.
• Complete self-contained tasks through an asynchronous workflow that can fit around ongoing research.

What it pays and takes

This role is suited to researchers and research engineers who publish their work and release usable research code.

• Pay: $200 per approved task.
• Task length: Each self-contained task takes about four hours.
• Work arrangement: Fully remote, asynchronous contract work.
• Location: Open to candidates in the countries specified for this role.
• Language: Professional fluency in English.
• Required: A completed or in-progress PhD in computer science or a related field.
• Required: Published research in algorithms at venues such as SODA, STOC, FOCS, ESA, ICALP, or comparable venues.
• Required: Research code released through GitHub or another accessible research artifact.
• Required: Ability to assess algorithmic reasoning, correctness, and implementation quality.
• Helpful: First-author publications and depth in graph, approximation, streaming, or online algorithms.
• Helpful: Experience with Docker or reproducible research environments.

About AI training work

OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply. AI training work uses human-written examples, reviews, and evaluations to help improve artificial intelligence systems.