Première détection par notre source: il y a 21 jours
Frontend Code Evaluation Specialist
@ Mercor
Toronto, Ontario
En bref
Mercor, which connects technical talent with AI research labs, is hiring a remote contract Frontend Engineer at $90/hour to evaluate frontend code. The work compares rendered web page replications against a reference, judges visual fidelity and construction quality, and writes evidence-based justifications. Candidates need 3 to 8 years of web development experience, hand-written HTML and CSS skills and professional written English.
Salaire :
90 $ de l’heure
Responsabilités :
- Compare page replications with a reference at 1920×1080
- Diff visual fidelity: spacing, typography, color, z-order
- Grade construction quality of source code
- Test responsiveness across viewport widths
- Write evidence-cited justifications for each preference
Résumé des exigences :
- 3 to 8 years of professional web development experience
- Command of hand-written HTML and CSS, including legacy layouts
- Browser DevTools and command-line comfort
- Enough JavaScript to read scripts and DOM impact
- Professional written English
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-17
- Mise à jour du dossier source
- 2026-10-17
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mercor
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Description complète de l’entreprise
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- Abonnés LinkedIn
- 654 507
- Personnes associées sur LinkedIn
- 5 250
- Bureaux déclarés
- San Francisco, California 94105, US
- Catégories d’activité
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Mercor
- Le profil indique une agence de recrutement
- Oui
- Investissement total déclaré
- 483 600 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 1 626 |
| Voir la page |
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Frontend Engineer
Type: Contract
Compensation: $90/hour
Location: Remote
Role Responsibilities
- Render a reference page and two candidate replications at 1920×1080. Judge which is the closer reproduction, state by state.
- Diff visual fidelity in detail: box model and spacing, typography (family, size, weight, line-height, letter-spacing), color and border treatment, image and asset handling, z-order, and overflow.
- Read the source of both attempts and grade construction quality. Distinguish a replication that is genuinely correct from one that merely looks correct at one viewport.
- Test responsiveness. Identify defects such as a nav bar that looks right at 1920px but collapses at 1400px.
- Write specific, evidence-cited justifications for every preference. Provide detailed explanations like "B nests the article body in a single absolutely-positioned div, so the text overlaps the footer below 1600px, while A uses normal document flow."
- Use the "this task is broken" escape hatch with judgment. Distinguish a task that genuinely cannot be completed from one that is merely hard.
Qualifications
Must-Have
- 3–8 years of professional web development experience in frontend or full-stack work.
- Fluency across web eras, including legacy layouts like <table> used for layout.
- Command of hand-written HTML and CSS: semantic markup, flexbox, grid, media queries, and legacy float- and table-based layouts.
- Browser DevTools as muscle memory.
- Command-line comfort: unzipping an archive, standing up a static local server, and untangling a broken image reference.
- Enough JavaScript to read a page's scripts and understand their DOM impact.
- Professional written English for task justification.
Preferred
- Prior RLHF, preference-labeling, model-evaluation, or structured code-review work.
- Pixel-perfect design-to-code experience.
- Accessibility expertise (ARIA, semantic landmarks, heading hierarchy).
- Familiarity with how LLMs fail at code generation.
- Web scraping, archiving, or DOM-parsing background.
- More than one completed Mercor project and availability in contiguous multi-hour blocks.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.