Wealth Manager | Remote

Crossing Hurdles; New Zealand; Remote; NZD 102,000 - 146,000; Part time

Job summary

Crossing Hurdles is seeking an RL Environment Creation specialist to design world-building scenarios for a reinforcement learning platform. This remote hourly contract invites professionals who can model realistic workflows and contribute to platform development.

You will map domain-specific scenarios, define variables and constraints, and provide feedback on accuracy and usability. A strong grasp of day-to-day work in your field and comfort with new modeling tools are essential.

Qualifications

• Professional experience and strong understanding of day-to-day work in your field.
• Solid understanding of how decisions get made in your field.
• Comfortable using new technical platforms and modeling tools.
• Able to clearly explain the principles and constraints of your field.
• A technical background or prior experience with AI platforms is helpful but not required.

Responsibilities

• Interact with a reinforcement learning platform built to model professional work.
• Map out realistic scenarios from your field using platform tools.
• Define the variables, constraints, and logic behind real scenarios in your field.
• Provide feedback on the accuracy and usability of the scenario builder.

Skills

Professional field knowledge

Ability to explain principles

Adapt to platforms

Job description

Position: RL Environment Creation - World Building [Various Domains]

Type: Hourly Contract

Compensation: $90/hr

Location: Remote

Commitment: Minimum of 10 hours/week.

Role Responsibilities

• Interact with a reinforcement learning platform built to model professional work.
• Map out realistic scenarios from your field using platform tools.
• Define the variables, constraints, and logic behind real scenarios in your field.
• Provide feedback on the accuracy and usability of the scenario builder.

Requirements

• Professional experience and a strong understanding of the day-to-day work in your field.
• Solid understanding of how decisions get made in your field.
• Comfortable using new technical platforms and modeling tools.
• Able to clearly explain the principles and constraints of your field.
• A technical background or prior experience with AI platforms is helpful but not required.