Potential candidates will need to pass a translation test. Successful candidates will be invited to a virtual interview with one of the client's Marketing Managers in the target market. The expected workload will average 5-10 hours per month.
Remote Jobs in Turkmenistan 2026
1750 remote jobs open to candidates in Turkmenistan. Updated daily.
Potential candidates will need to pass a test. Successful candidates will be invited to a virtual interview with one of the client's Marketing Managers in the target market. The expected workload will average 5-10 hours per month.
We are hiring math experts. This assessment is the first step to potentially qualify you for a range of paid opportunities at AfterQuery, from ongoing project work to specialized math roles.
We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture?
Apply QA and test automation expertise to AI datasets — validate testing content, annotate automation workflows, and improve software-quality AI models.
Bring prompt engineering expertise to AI training — design and evaluate prompts, validate model outputs, and improve LLM performance across tasks.
Apply database and SQL expertise to AI training — validate query and schema content, annotate data-engineering examples, and improve technical AI models.
Apply geology and earth science expertise to AI datasets — validate geoscience content, annotate research data, and improve earth-science AI models.
Bring statistical and biostatistical expertise to AI training — validate quantitative content, annotate study designs, and improve analytics-focused AI models.
Apply investment banking expertise to AI training — validate financial-modeling content, annotate deal analysis, and improve finance AI models.
Bring auditing and forensic accounting expertise to AI datasets — validate financial-controls content, annotate investigations, and improve accounting AI models.
Apply aircraft maintenance expertise to AI training — validate airframe and powerplant content, annotate technical procedures, and improve aviation AI models.
Bring carpentry and cabinetmaking expertise to AI datasets — validate construction and woodworking content, annotate techniques, and improve trades AI models.
Provide family law expertise for AI training — validate legal content on domestic matters, annotate case analysis, and improve legal AI models.
Apply tax and corporate law expertise to AI datasets — validate complex legal content, annotate statutory analysis, and improve legal AI models.
Apply insurance underwriting expertise to AI datasets — validate risk-assessment content, annotate policy data, and improve insurance AI models.
Contribute mobile development expertise to AI datasets — validate code and architecture content, annotate technical examples, and improve coding AI models.
Provide real estate appraisal expertise for AI training — validate valuation methods, annotate property data, and improve real-estate AI models.
Apply open-source analysis expertise to AI training — validate geopolitical and security content, annotate analytical reporting, and improve intelligence-focused AI models.
Bring emergency management expertise to AI training — validate response protocols, annotate crisis scenarios, and improve public-safety AI models.
Contribute urban planning expertise to AI datasets — validate zoning and land-use content, annotate planning data, and improve civic-planning AI models.
Apply public policy expertise to AI training — annotate policy documents, validate AI-generated analysis, and improve models covering government and civic content.
Bring professional culinary expertise to AI training — validate recipes and techniques, annotate cooking content, and improve food and recipe AI models.
Contribute food science expertise to AI datasets — validate food safety and formulation content, annotate technical data, and improve food-industry AI models.