Senior Computational Mathematician Job Jakarta area,Jakarta Utara Indonesia,Research/Development

Location: Jakarta Utara

Freelancing Opportunity :

-

We are hiring a Senior Computational Mathematician for a short-term Frontier AI Research, Mathematical Computing & Scientific Evaluation project across the following locations:

Role:

Senior Computational Mathematician

Educational Eligibility:

PhD, postdoctoral experience, or equivalent advanced technical experience in Mathematics, Applied Mathematics, Statistics, or a closely related discipline.

Mode:

Remote

Start:

Immediate

Engagement Type:

Short-Term Contract

Mandatory Eligibility Criteria:
Technical

Qualification:

PhD, postdoctoral experience, or equivalent advanced expertise in Mathematics, Applied Mathematics, Statistics
, or a closely related field.
Strong proficiency in Linux environments and command-line/terminal workflows
.
Hands-on expertise in at least one major area:
Numerical Methods | Scientific Computing | Symbolic Computation | Optimization | Computational Statistics | Mathematical Modeling
.
Ability to rigorously evaluate mathematical derivations, algorithms, proofs, numerical methods, and computational results.
Strong understanding of mathematical correctness, convergence, stability, conditioning, discretization errors, numerical precision, and edge-case handling.
Experience reviewing mathematical research, scientific code, computational workflows, or technical deliverables.
Ability to assess computational accuracy, reproducibility, test reliability, and the scientific validity of mathematical tasks.
Experience mentoring technical or research teams, reviewing deliverables, and maintaining quality standards.
Excellent written communication skills to provide precise technical feedback and document mathematical requirements.

Availability:

Minimum 40 hours per week
.
Availability to work at least 8 hours per day
.
Minimum 4 hours of overlap with PST business hours
.

What You’ll Work On:

Lead and mentor a pod of approximately 5–10 technical trainers developing realistic, terminal-based mathematical and scientific tasks for a frontier AI training and evaluation initiative.
Review mathematical tasks end to end, including problem statements, datasets, computational environments, reference solutions, and automated tests.
Validate tasks involving numerical and applied mathematics, scientific computing, optimization, statistics, mathematical modeling, computational algebra, and formal verification
.
Ensure tasks reflect authentic mathematical research and computational workflows that require meaningful, multi-step reasoning rather than simple lookups or single-library calls.
Verify mathematical correctness, problem formulation, well-posedness, convergence, stability, conditioning, discretization errors, and edge-case handling.
Validate the appropriate use of exact, symbolic, arbitrary-precision, and floating-point computations.
Ensure numerical tolerances are appropriate for the conditioning and requirements of each problem.
Design and review automated graders using mathematical properties such as residuals, feasibility, optimality certificates, in variants, error bounds, and proof checking.
Ensure tasks and computational results are reproducible through pinned tools, libraries, solver versions, and dependencies.
Identify and prevent hard-coded solutions, test-data leakage, and other approaches that bypass the intended mathematical computation.
Review reference solutions and automated tests to ensure they accurately assess mathematical reasoning, computational correctness, and scientific validity.
Identify mathematical inaccuracies, flawed assumptions, unreliable tests, and opportunities to improve task quality and evaluation standards.
Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
Onboard and mentor trainers on mathematical…