NEW JOB OPENING
SOFTWARE ENGINEER
IN Remote, USA!

Client Location: Remote Anywhere in US (remote from home only)



Note: This role may involve occasional exposure to graphic or objectionable content-moderation data (integrity / community operations). Standard Meta data-protection and confidentiality requirements apply.



Job Description:



We're seeking a Senior Software Engineer to build and scale AI-powered learning and quality-measurement systems for Global Operations Learning. You'll own delivery end-to-end — turning automation concepts into dependable production systems with minimal management overhead.



Required skills:

• 5+ years software engineering, strong Python

• Hands-on experience operating AI-backed systems in production (data trust, validation, reliability, auditability) — prompt-only or demo/experimentation backgrounds will be de-prioritized



Data pipeline development at scale

• Ability to ramp quickly on internal tooling and APIs

• Proven self-directed execution — able to own delivery from high-level direction with minimal steering

• Comfortable working on an operations team of non-engineers and "code-switching" to non-technical audiences



Nice to have:

• Content moderation / Trust & Safety background



Job Description:

We're seeking a Senior Software Engineer to build and scale AI-powered learning and quality-measurement systems for Global Operations Learning. You'll own delivery end-to-end — turning automation concepts into dependable production systems with minimal management overhead.



Key Day to Day Duties: Build and own SRT workstreams; turn automations into production systems; develop infrastructure/tooling for the automated remediation learning pipeline; ensure AI-backed systems are dependable



What you'll do:

• Build and own new SRT (Single Review Tool) workstreams, including event-driven systems and scheduling

• Build automated pipelines that turn reviewer quality data into personalized, AI-driven coaching

• Engineer AI-backed coaching systems for production — focusing on trusted source data, validation, reliability, and auditability (making AI behavior dependable, not writing prompts)

• Build and maintain data pipelines (ETL/ELT) feeding learning-effectiveness metrics

• Integrate with internal review and quality systems and APIs

• Ship independently on a 2-week sprint cadence with regular demos



Prior Client experience

• Evaluation-framework familiarity (precision/recall, labeling quality)



Logistics:

• Fully remote anywhere in US. Occasional on-site visits possible

• 5+ years of experience- prioritizing autonomy

• Self-directed role — you'll own delivery with minimal management overhead



Note: This role may involve occasional exposure to graphic or objectionable content-moderation data (integrity / community operations). Standard Client data-protection and confidentiality requirements apply.



Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**