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This Government Contract opportunity from Department Of Labor was posted on June 24, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Interviewer Recruitment, Training, and Management

Closed
Federal

Contract Overview

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The contract requires the recruitment, training, and ongoing management of a nationwide team of interviewers to conduct both in-person and telephone data collection efforts on behalf of the Department of Labor’s CAS Division 5 Procurement. The successful bidder must develop comprehensive training curricula, implement performance monitoring systems, and ensure standardized data quality across all field operations. This effort demands scalable infrastructure to support a large, geographically dispersed workforce and adherence to strict procedural guidelines to maintain data integrity and compliance. The place of performance is centered in Washington, D.C., with operations extending nationally, and the work is classified under NAICS code 611430, indicating a focus on other schools and instruction services. Proposals are due by July 9, 2026, and the contract is structured as a subcontract with no set-aside provisions.

General Info

Recruit, train, and manage nationwide interviewers for DOL data collection with strict quality standards.

Agency

Department Of Labor → DOL - Cas Division 5 ProcurementView Agency

NAICS

611430 - Professional and Management Development TrainingView NAICS

Place of Performance

Washington, DC, 20212, USA

Set-Aside

NONE

Documents

This scope was carved out of OAA-26-00339.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFI - National Longitudinal Surveys

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Labor → DOL - Cas Division 5 Procurement
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Labor → DOL - Cas Division 5 Procurement
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Recruit, train, and manage a national team of interviewers for in-person and telephone data collection, including curriculum development and performance monitoring.

More opportunities from Department Of Labor → DOL - Cas Division 5 Procurement

Same awarding agency

NAICS: 541910
New
Federal
Webscraped Apparel Data
Solicitation # 1605C5-26-Q-00040
Solicitation 1605C5-26-Q-00040 is a firm-fixed-price request for quote issued by the Department of Labor for the Bureau of Labor Statistics, Office of Price and Living Conditions. The objective is to acquire detailed webscraped apparel data from major national retailers, including Macy's, Kohl's, Nordstrom, Dillard's, and JCPenney, to support Consumer Price Index research. The scope covers men's, women's, and children's apparel, as well as jewelry and watches. This procurement is a total small business set-aside under NAICS code 541910. The contractor must provide structured datasets in formats such as CSV, SAS, txt, or Excel, delivered via SFTP three times per month on or around the 1st, 10th, and 20th. While the initial solicitation outlined a base period and four option periods, Amendment 0002 revised the requirements to remove option periods. The base period of performance is scheduled from September 25, 2026, to September 24, 2027. Award will be based on best value, with technical capability being more important than price. Evaluation factors include technical adherence to the statement of work, the scope of the data offered, and the depth of the characteristic data provided per product. Proposals must be submitted in two separate volumes, with a strict prohibition on pricing information within the technical volume. Invoicing is to be processed through the Department of Treasury's Invoice Processing Platform.
Marketing Research and Public Opinion Polling

POSTED

2 days ago

DEADLINE

in 2 days
View Details

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