Remote Independent Education Rater for AI-in-Learning

Eticas.AI; United States; Remote; USD 85,000 - 121,000; Part time

Job summary

Eticas.AI is seeking independent education experts to score 6–8 grade writing using a shared rubric, with paid training and calibration. The role runs remotely as an hourly engagement, with an initial scope and constraints to ensure reliability across diverse classrooms in the US and Europe.

You’ll participate in scoring of about 70 responses per rater and a debrief addressing rubric gaps and AI limitations.

Qualifications

• Current or recent middle school teacher, ELA or writing preferred; used to scoring student work against a rubric (state-assessment scoring is a plus, not a requirement).
• Deliberately mixed group: different states; urban, suburban and rural schools; district and charter; high-poverty schools; teachers of multilingual learners and of students with IEPs.
• For the January round, math teachers and teachers with project-based or group-work experience are especially useful.
• Not a fit: tutors or edtech staff without recent classroom assessment experience.

Responsibilities

• Score grades 6 to 8 argumentative writing against a shared rubric, after paid training and calibration with our psychometrician.
• Take part in a paid debrief after scoring on where the rubric fails real student work and what an AI scorer is likely to miss.
• Optional second round in January scoring collaborative problem solving from transcripts and recordings of small-group work.

Skills

Middle school teacher

ELA or writing

Rubric-based scoring

State assessments experience

Group-work / collaboration

Job description

Eticas.AI is seeking independent education experts to score 6–8 grade writing using a shared rubric, with paid training and calibration. The role runs remotely as an hourly engagement, with an initial scope and constraints to ensure reliability across diverse classrooms in the US and Europe.

You’ll participate in scoring of about 70 responses per rater and a debrief addressing rubric gaps and AI limitations.