Talent Operations Manager

SaidGig; New York (NY); Remote; USD 70,000 - 110,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Health insurance reimbursement

Paid time off

401(k) match

Remote-workforce benefits

Job summary

SaidGig is seeking a remote, full-time onboarding and customer-success leader to coordinate distributed expert talent for AI training and data operations. You will connect operators, data, product, engineering, and enterprise clients to deliver reliable human intelligence at scale.

You will manage onboarding at scale, drive retention, publish weekly performance reports, and partner with product and engineering as needs evolve.

Qualifications

• Strong written communication and clear, structured messaging.
• Experience operating in remote, distributed environments with ownership.
• Ability to lead 100+ contributors with operational visibility.
• Data fluency with dashboards, KPIs, and diagnostics.
• Onboarding, stakeholder management, and cross-functional leadership experience.
• Familiarity with modern tools (ATS, analytics, automation).

Responsibilities

• Lead onboarding, activation, and success of distributed talent for AI training and data ops.
• Publish weekly performance and milestone reports with actionable signals.
• Drive customer-success outcomes across ongoing AI deployments.
• Manage relationships with enterprise clients and internal teams.
• Identify blockers and optimize onboarding, QA, and retention systems.

Skills

Strong communication

Remote work experience

Lead 100+ contributors

Data dashboards

KPIs

Cross-functional leadership

Tools

ATS

Analytics tools

Automation tools

Project-operations tools

Job description

Lead the onboarding, activation, and success of distributed expert talent supporting high-velocity AI training and data operations. This remote, full-time role connects operators, data, product, engineering, and enterprise clients to deliver reliable human intelligence at scale.

Key Responsibilities

Run large-cohort onboarding efficiently and accurately at scale.Activate and manage distributed talent pools supporting AI training and data operations.Build trusted relationships with enterprise clients and drive customer-success outcomes across ongoing AI deployments.Identify and resolve operational blockers quickly and clearly.Publish weekly performance and milestone reports with clear, actionable signal.Lead community syncs and engagement practices that keep operators effective.Partner with product and engineering teams as model and client needs change.Use data to continually improve onboarding, quality assurance, and retention systems.

Qualifications

Strong written communication skills that are clear, structured, and direct.Experience operating in remote, distributed environments with a high degree of ownership.Ability to lead more than 100 contributors while maintaining operational visibility.Comfort working through ambiguity, rapid change, and continuous iteration.Data fluency, including dashboards, KPIs, and performance diagnostics.Skills in large-scale onboarding, stakeholder management, cross-functional collaboration, and leadership.Preferred experience with human data, RLHF, AI training pipelines, enterprise AI or technical clients, and scaling data or talent operations systems.Familiarity with ATS, analytics, project-operations, automation, and related modern tools is preferred.

Work Terms

Full-time, remote position.Work supports ongoing AI training deployments and enterprise delivery.

Compensation

The stated compensation range is $70, 000 to $110, 000 per year.A separate national base-salary range of $50, 000 to $70, 000 USD is also stated for this full-time position.Employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and applicable policies.Benefits include up to 100% reimbursement for health-insurance premiums, paid time off, a 401(k) plan with company match, and additional remote-workforce benefits.

Eligibility

Qualified applicants are considered without regard to legally protected characteristics.Reasonable accommodation or application assistance is available through the designated support channel.

Application Process

The hiring process uses AI tools to assist with candidate screening and assessment; these tools support, rather than replace, human decision-making.