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About Terac: Overview: We are hiring a part-time full-stack engineer to build features for an agricultural data platform and expand an existing machine learning stack. We need an experienced developer who can commit to approximately 15 hours per week for a long-term, permanent role.Availability: 15 spots leftCompensation: $39 / hrReferral Reward: Earn up to $1,000 per person you refer.Referral Link: https://terac.com/refer/8ba1a6be?opp=part_time_full_stack_engineers_farm_data_platform_developmentAbout Platform: Opportunity detail panel We're hiring a part-time full-stack engineer to help build across a comprehensive farm-data platform. This permanent role involves developing robust data infrastructure and extending our existing machine learning stack. The work directly supports advanced agricultural analytics and long-term platform growth. You will work remotely on a flexible schedule, committing approximately 15 hours per week to the project. Your responsibilities will include writing production-ready code, integrating new features into the core platform, and supporting machine learning workflows. You will collaborate asynchronously with the rest of the team to ensure seamless deployment and system reliability. This is a long-term engagement expected to last for a year or more, functioning as a permanent team member rather than a short-term contractor.

About Terac: Overview: We are hiring investment finance experts for a paid opportunity to complete specialized financial authoring and domain-specific tasks. We need candidates with strong market backgrounds to work independently on an external platform while tracking their hours.Availability: 6 spots leftCompensation: $91 / hrReferral Reward: Earn up to $1,000 per person you refer.Referral Link: https://terac.com/refer/95f1acf5?opp=investment_finance_professionals_paid_independent_authoring_and_task_work

About Terac: Overview: **Remote · Contract · $45-75/hr, paid weekly · 10–20+ hrs/week**Compensation: $45Referral Link: https://terac.com/refer/95f1acf5?opp=remote_contract_45_75_hr_paid_weekly_10_20_hrs_week

About Terac: Overview: We're running a paid study to review and verify programming tasks used for testing AI agents. We need experienced software engineers to evaluate coding harnesses and assess the quality of realistic coding challenges.Availability: 7 spots leftCompensation: $75 / hrReferral Reward: Earn up to $1,000 per person you refer.Referral Link: https://terac.com/refer/95f1acf5?opp=swe_coding_benchmarks_rl_environmentsAbout Platform: Opportunity detail panel Remote · Contract · $45-75/hr, paid weekly · 10–20+ hrs/week We build coding tasks used to train and evaluate frontier AI coding agents. We're looking for experienced software engineers to design them.

About Terac: Overview: We are conducting a remote interview series to evaluate modern accounting workflows and the integration of artificial intelligence tools. We need practicing accountants to discuss their daily routines and detail how they leverage AI assistants to streamline their tasks.Availability: 50 spots leftCompensation: $100 / hrReferral Reward: Earn up to $1,000 per person you refer.Referral Link: https://terac.com/refer/4c76bd43?opp=accountants_paid_interview_on_ai_assistant_workflowsAbout Platform: Opportunity detail panel We're running a paid study on the evolving landscape of accounting workflows and the adoption of AI assistants in the field. This research feeds into a broader evaluation of how emerging technology impacts daily financial operations and efficiency. Understanding these practical applications helps us identify the most valuable tool integrations for modern finance teams. During a remote interview, you will walk us through your typical daily accounting tasks and core workflows. You will discuss the specific ways you incorporate AI tools into your routine, detailing both the benefits and any limitations you encounter. We will ask you to react to hypothetical scenarios and describe recent examples of how these assistants impacted your deliverables. The conversation focuses heavily on your practical, hands-on experience rather than theoretical concepts.