Founding Engineer

  • Location: Remote
  • Department: AI Training
  • Employment Type: Full-time

What’s in it for you?

Paciva’s AI needs to understand the difference between signal and noise. That sounds simple until you look at real messages. Some sales outreach is obvious junk. Some is relevant. Some recruiting messages matter. Some look personal but are automated. Some are risky. Some are low priority. Some should be surfaced immediately. Some should be muted and never seen again. As AI Trainer, you will help train and evaluate the systems that classify inbound communication by intent, priority, risk, and actionability. This is a strong role for someone who is detail-oriented, language-sensitive, analytical, and interested in how AI systems improve through human judgment.

About the team and the opportunity

Paciva uses AI to classify inbound messages across email and LinkedIn. The product needs to identify sales outreach, recruiting messages, customer issues, internal communication, partner messages, scams, phishing, impersonation, low-value automation, and real opportunities. You will review examples, label messages, evaluate model outputs, flag edge cases, refine guidelines, and help improve classification quality. This is not just data labeling. It is judgment work.

A day in the life

You may review a batch of inbound messages and label each by intent, priority, risk, automation likelihood, and recommended action. Then you may compare model predictions against human-reviewed outcomes and document where the system made mistakes. Later, you may join a calibration session to align on tricky examples or help refine labeling rules for graymail, recruiting outreach, or phishing risk.

What you will work on

  • Review and label business communication examples
  • Classify messages by intent, priority, risk, automation likelihood, and actionability
  • Evaluate model outputs for accuracy, confidence, explanation quality, and recommended action
  • Identify false positives, false negatives, confusing examples, and risky automation patterns
  • Write clear notes that explain why a message should be treated a certain way
  • Help refine labeling guidelines, rubrics, taxonomy definitions, and quality standards
  • Use AI tools to assist with pattern detection, summarization, and QA while maintaining human review

What we need from you

  • 2+ years of experience in AI training, data annotation, trust and safety, content review, customer operations, support QA, spam review, fraud review, research, linguistics, or a related role
  • Strong reading of nuance in written communication
  • Detail-oriented, consistent, and clear in your reasoning
  • Comfort with repetitive review work that still requires careful judgment
  • Experience with email classification, phishing review, sales outreach analysis, LLM evaluation, or AI data quality is a strong plus

Remote work, compensation, and benefits

This is a remote role. Paciva is based in Miami, Florida and the team works across time zones. We value clear written communication, ownership, practical collaboration, and dependable follow-through. Compensation is based on experience, skills, location, market data, role scope, and internal equity. For sales roles, compensation may include base salary and variable incentive compensation. Final details will be shared during the hiring process. Most roles include occasional travel for team meetings, customer sessions, company events, or offsites.

Equal opportunity statement

Paciva is an equal opportunity employer. We make employment decisions based on qualifications, merit, business needs, and role fit. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, marital status, pregnancy, caregiver status, or any other status protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. We will work with you to support your participation.