{"schemaVersion":"jobsearcher.job.v1","id":"63000398fd6f4b67ed502b73","url":"https://jobsearcher.com/jobs/63000398fd6f4b67ed502b73","canonicalUrl":"https://jobsearcher.com/jobs/63000398fd6f4b67ed502b73","title":"Software Engineer Task Author","description":"Software Engineer Task Author$80-120/hr Remote Freelance CODINGAlignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise work. As a Task Author for the Software Engineer role, you will design and calibrate real engineering tasks — diagnosing failing integrations from logs, tracing bugs through a codebase, and writing and verifying fixes — that genuinely challenge a capable AI agent. This role requires hands-on engineering skill; generalist profiles cannot do this work.Key ResponsibilitiesAuthor realistic engineering task prompts: integration failures, log-based debugging, bug traces through source code, and configuration or integration fixes.Write scoring rubrics that define exactly what a correct fix or diagnosis looks like and how it is verified — including live environment validation where applicable.Set up task environments with realistic codebases, logs, alerts, and system states that drop an AI agent into a plausible engineering situation.Solve each task yourself — write the actual fix and confirm it works — to validate the task is sound and the rubric is accurate.Calibrate task difficulty — adjust code complexity, log volume, failure modes, or ambiguity until the task reliably challenges the model to the intended degree.Review and correct AI-drafted task prompts or rubrics when provided.QualificationsWorking software engineer with hands-on experience in industry — this is not a theoretical or instructional role.Fluency in Git, version control workflows, and code review practices.Strong debugging skills: comfortable reading logs, using observability tools, and tracing failures through a codebase.Experience with infrastructure, integrations, and configuration code (APIs, services, config files, CI/CD).Ability to write and verify a code fix in a live or simulated environment.Ability to define precise, checkable correctness criteria for engineering outcomes.Nice to HaveExperience in manufacturing, industrial IoT, or enterprise SaaS engineering contexts.Background with monitoring/observability platforms (e.g., Datadog, PagerDuty, Grafana).","company":"Alignerr","rawCompany":"alignerr","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:07:29.494Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer Task Author","description":"Software Engineer Task Author$80-120/hr Remote Freelance CODINGAlignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise work. As a Task Author for the Software Engineer role, you will design and calibrate real engineering tasks — diagnosing failing integrations from logs, tracing bugs through a codebase, and writing and verifying fixes — that genuinely challenge a capable AI agent. This role requires hands-on engineering skill; generalist profiles cannot do this work.Key ResponsibilitiesAuthor realistic engineering task prompts: integration failures, log-based debugging, bug traces through source code, and configuration or integration fixes.Write scoring rubrics that define exactly what a correct fix or diagnosis looks like and how it is verified — including live environment validation where applicable.Set up task environments with realistic codebases, logs, alerts, and system states that drop an AI agent into a plausible engineering situation.Solve each task yourself — write the actual fix and confirm it works — to validate the task is sound and the rubric is accurate.Calibrate task difficulty — adjust code complexity, log volume, failure modes, or ambiguity until the task reliably challenges the model to the intended degree.Review and correct AI-drafted task prompts or rubrics when provided.QualificationsWorking software engineer with hands-on experience in industry — this is not a theoretical or instructional role.Fluency in Git, version control workflows, and code review practices.Strong debugging skills: comfortable reading logs, using observability tools, and tracing failures through a codebase.Experience with infrastructure, integrations, and configuration code (APIs, services, config files, CI/CD).Ability to write and verify a code fix in a live or simulated environment.Ability to define precise, checkable correctness criteria for engineering outcomes.Nice to HaveExperience in manufacturing, industrial IoT, or enterprise SaaS engineering contexts.Background with monitoring/observability platforms (e.g., Datadog, PagerDuty, Grafana).","datePosted":"2026-10-16T14:07:29.494Z","dateModified":"2026-10-16T14:07:29.494Z","hiringOrganization":{"@type":"Organization","name":"Alignerr","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"63000398fd6f4b67ed502b73"},"url":"https://jobsearcher.com/jobs/63000398fd6f4b67ed502b73"}}