Product Analytics and Experimentation Expert

OpenTrain AI, Inc.; United Arab Emirates; Remote; AED 480,000 - 684,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Product Analytics and Experimentation Expert for a remote contract role.

You will design realistic analytics problems based on real product decisions and write reference answers that demonstrate the reasoning behind each step. The work focuses on experiments, metrics, retention, and growth, with emphasis on identifying subtle analytical mistakes and presenting clear analyses in English.

Qualifications

• Hands-on experience designing or analyzing A/B tests.
• Strong SQL, Python, and applied statistics skills.
• Strong written English with the ability to explain an analysis clearly.
• At least three years of full-time data science or product analytics experience.

Responsibilities

• Create product analytics problems based on real product-team decisions.
• Write reference answers showing the reasoning behind each step.
• Explain reasoning and identify analytical mistakes.

Skills

SQL

Python

Applied statistics

Written English

Education

Master's degree in quantitative field

Job description

Product Analytics and Experimentation Expert

Create realistic product analytics problems and detailed answers to evaluate AI systems, drawing on experiments, metrics, retention, and growth. Remote contract work pays $115 per hour and requires at least 20 hours per week.

Remote Hourly · $115/hr

$115/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 95 countries

Australia + more

• 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 product analytics problems based on real product-team decisions, then write reference answers that show the reasoning behind each step. Your examples will help assess whether AI systems can analyze data and make sound analytical judgments.

• Write problems about experiments, product metrics, retention, and growth.
• Work through each problem and explain the reasoning in its reference answer.
• Identify analytical mistakes that may look reasonable but require practical product analytics experience to catch.

What it pays and takes

• Pay: $115 per hour, paid weekly via Stripe.
• Hours: At least 20 hours per week; the work is flexible and asynchronous, with participation that can scale up or down.
• Location: Remote, with applicants limited to eligible countries.
• Experience: At least three years of full-time work as a data scientist or product analyst on a product team.
• Skills: Hands-on experience designing or analyzing A/B tests; strong SQL, Python, and applied statistics skills; and strong written English with the ability to explain an analysis clearly.
• Helpful background: A master's degree in a quantitative field, experience defining product metrics, or experience modeling retention and lifetime value.
• Work arrangement: Independent contractor role with ongoing project work.

About AI training work

AI training work uses human-written examples and evaluations to help improve and assess AI systems. Experienced product analytics practitioners are needed to create realistic problems and recognize errors that require practical judgment.